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<!DOCTYPE html> |
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<html lang="en"> |
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<head> |
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<meta charset="UTF-8"> |
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<meta name="viewport" content="width=device-width, initial-scale=1.0"> |
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<meta name="description" content="Interactive Embodied AI Autonomous Vehicle Simulator - Real-time AI decision making and navigation"> |
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<meta name="keywords" content="AI, autonomous vehicles, simulation, embodied AI, robotics, machine learning"> |
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<meta name="author" content="Embodied AI Research"> |
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<title>🚗 Embodied AI - Autonomous Vehicle Simulator</title> |
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<meta property="og:title" content="Embodied AI Vehicle Simulator"> |
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<meta property="og:description" content="Interactive demonstration of autonomous vehicle AI with real-time decision making"> |
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<meta property="og:type" content="website"> |
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<meta property="og:image" content="https://via.placeholder.com/1200x630/667eea/ffffff?text=Embodied+AI+Vehicle+Simulator"> |
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<link rel="icon" href="data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 100'><text y='.9em' font-size='90'>🚗</text></svg>"> |
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<style> |
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* { |
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margin: 0; |
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padding: 0; |
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box-sizing: border-box; |
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} |
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body { |
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font-family: 'Segoe UI', -apple-system, BlinkMacSystemFont, 'Roboto', sans-serif; |
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); |
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min-height: 100vh; |
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display: flex; |
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flex-direction: column; |
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color: white; |
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overflow-x: hidden; |
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} |
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.header { |
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background: rgba(0, 0, 0, 0.3); |
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padding: 20px; |
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text-align: center; |
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backdrop-filter: blur(10px); |
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border-bottom: 1px solid rgba(255, 255, 255, 0.1); |
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position: relative; |
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} |
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.header h1 { |
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font-size: clamp(1.8rem, 4vw, 2.5rem); |
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margin-bottom: 10px; |
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text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3); |
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background: linear-gradient(45deg, #fff, #e0e0e0); |
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-webkit-background-clip: text; |
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-webkit-text-fill-color: transparent; |
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background-clip: text; |
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} |
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.header p { |
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font-size: clamp(0.9rem, 2.5vw, 1.1rem); |
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opacity: 0.9; |
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} |
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.hf-badge { |
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position: absolute; |
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top: 10px; |
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right: 20px; |
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background: rgba(255, 255, 255, 0.2); |
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padding: 5px 10px; |
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border-radius: 15px; |
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font-size: 0.8rem; |
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backdrop-filter: blur(5px); |
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} |
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.main-container { |
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display: flex; |
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flex: 1; |
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gap: 20px; |
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padding: 20px; |
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max-width: 1400px; |
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margin: 0 auto; |
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width: 100%; |
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} |
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.simulation-area { |
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flex: 1; |
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background: rgba(255, 255, 255, 0.1); |
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border-radius: 15px; |
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padding: 20px; |
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backdrop-filter: blur(10px); |
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border: 1px solid rgba(255, 255, 255, 0.2); |
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box-shadow: 0 8px 32px rgba(0, 0, 0, 0.1); |
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} |
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.canvas-container { |
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position: relative; |
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width: 100%; |
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height: 600px; |
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background: #1a1a2e; |
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border-radius: 10px; |
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overflow: hidden; |
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box-shadow: 0 10px 30px rgba(0, 0, 0, 0.3); |
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border: 2px solid rgba(255, 255, 255, 0.1); |
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} |
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#simulationCanvas { |
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width: 100%; |
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height: 100%; |
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display: block; |
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cursor: crosshair; |
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} |
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.controls-panel { |
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width: 320px; |
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background: rgba(255, 255, 255, 0.1); |
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border-radius: 15px; |
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padding: 20px; |
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backdrop-filter: blur(10px); |
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border: 1px solid rgba(255, 255, 255, 0.2); |
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height: fit-content; |
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box-shadow: 0 8px 32px rgba(0, 0, 0, 0.1); |
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} |
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.control-section { |
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margin-bottom: 25px; |
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} |
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.control-section h3 { |
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font-size: 1.2rem; |
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margin-bottom: 15px; |
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color: #fff; |
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border-bottom: 2px solid rgba(255, 255, 255, 0.3); |
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padding-bottom: 8px; |
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display: flex; |
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align-items: center; |
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gap: 8px; |
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} |
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.control-group { |
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margin-bottom: 15px; |
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} |
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.control-group label { |
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display: block; |
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margin-bottom: 8px; |
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font-weight: 500; |
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color: #e0e0e0; |
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font-size: 0.9rem; |
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} |
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.control-group input, .control-group select { |
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width: 100%; |
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padding: 10px 12px; |
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border: none; |
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border-radius: 8px; |
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background: rgba(255, 255, 255, 0.2); |
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color: white; |
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font-size: 14px; |
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transition: background 0.3s ease; |
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} |
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.control-group input:focus, .control-group select:focus { |
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outline: 2px solid rgba(255, 255, 255, 0.5); |
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background: rgba(255, 255, 255, 0.3); |
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} |
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.control-group input::placeholder { |
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color: rgba(255, 255, 255, 0.6); |
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} |
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.slider-container { |
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display: flex; |
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align-items: center; |
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gap: 10px; |
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} |
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.slider-container input[type="range"] { |
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flex: 1; |
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} |
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.slider-value { |
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background: rgba(0, 0, 0, 0.3); |
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padding: 4px 8px; |
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border-radius: 4px; |
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font-size: 0.8rem; |
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min-width: 40px; |
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text-align: center; |
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} |
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.btn { |
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width: 100%; |
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padding: 12px; |
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border: none; |
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border-radius: 8px; |
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font-size: 16px; |
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font-weight: 600; |
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cursor: pointer; |
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transition: all 0.3s ease; |
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margin-bottom: 10px; |
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position: relative; |
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overflow: hidden; |
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} |
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.btn::before { |
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content: ''; |
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position: absolute; |
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top: 0; |
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left: -100%; |
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width: 100%; |
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height: 100%; |
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background: linear-gradient(90deg, transparent, rgba(255,255,255,0.2), transparent); |
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transition: left 0.5s; |
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} |
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.btn:hover::before { |
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left: 100%; |
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} |
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.btn-primary { |
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background: linear-gradient(45deg, #4CAF50, #45a049); |
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color: white; |
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box-shadow: 0 4px 15px rgba(76, 175, 80, 0.3); |
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} |
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.btn-secondary { |
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background: linear-gradient(45deg, #2196F3, #1976D2); |
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color: white; |
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box-shadow: 0 4px 15px rgba(33, 150, 243, 0.3); |
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} |
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.btn-danger { |
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background: linear-gradient(45deg, #f44336, #d32f2f); |
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color: white; |
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box-shadow: 0 4px 15px rgba(244, 67, 54, 0.3); |
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} |
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.btn:hover { |
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transform: translateY(-2px); |
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box-shadow: 0 6px 20px rgba(0, 0, 0, 0.3); |
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} |
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.btn:active { |
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transform: translateY(0); |
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} |
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.btn:disabled { |
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opacity: 0.6; |
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cursor: not-allowed; |
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transform: none; |
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} |
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.stats { |
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background: rgba(0, 0, 0, 0.3); |
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padding: 15px; |
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border-radius: 8px; |
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margin-top: 15px; |
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border: 1px solid rgba(255, 255, 255, 0.1); |
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} |
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.stats h4 { |
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margin-bottom: 12px; |
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color: #fff; |
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font-size: 1.1rem; |
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} |
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.stat-item { |
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display: flex; |
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justify-content: space-between; |
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margin-bottom: 8px; |
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font-size: 14px; |
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padding: 4px 0; |
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} |
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.stat-label { |
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color: #ccc; |
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} |
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.stat-value { |
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color: #4CAF50; |
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font-weight: 600; |
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font-family: monospace; |
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} |
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.ai-info { |
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background: rgba(0, 0, 0, 0.3); |
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padding: 15px; |
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border-radius: 8px; |
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margin-top: 15px; |
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font-size: 13px; |
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line-height: 1.5; |
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border: 1px solid rgba(255, 255, 255, 0.1); |
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} |
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.ai-info h4 { |
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margin-bottom: 10px; |
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color: #fff; |
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} |
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.ai-info ul { |
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margin-left: 15px; |
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margin-top: 8px; |
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} |
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.ai-info li { |
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margin-bottom: 4px; |
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color: #e0e0e0; |
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} |
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.current-decision { |
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background: rgba(76, 175, 80, 0.2); |
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padding: 8px; |
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border-radius: 4px; |
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margin: 10px 0; |
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font-family: monospace; |
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font-size: 12px; |
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border-left: 3px solid #4CAF50; |
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} |
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.legend { |
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display: flex; |
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flex-wrap: wrap; |
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gap: 15px; |
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margin-top: 15px; |
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padding: 10px; |
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background: rgba(0, 0, 0, 0.2); |
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border-radius: 8px; |
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} |
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.legend-item { |
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display: flex; |
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align-items: center; |
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gap: 8px; |
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font-size: 12px; |
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} |
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.legend-color { |
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width: 16px; |
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height: 16px; |
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border-radius: 50%; |
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box-shadow: 0 2px 4px rgba(0, 0, 0, 0.3); |
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} |
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.footer { |
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background: rgba(0, 0, 0, 0.3); |
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padding: 15px; |
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text-align: center; |
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backdrop-filter: blur(10px); |
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border-top: 1px solid rgba(255, 255, 255, 0.1); |
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font-size: 0.9rem; |
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color: rgba(255, 255, 255, 0.8); |
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} |
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.footer a { |
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color: #4CAF50; |
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text-decoration: none; |
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} |
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.footer a:hover { |
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text-decoration: underline; |
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} |
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@media (max-width: 768px) { |
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.main-container { |
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flex-direction: column; |
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padding: 10px; |
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} |
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.controls-panel { |
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width: 100%; |
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} |
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.canvas-container { |
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height: 400px; |
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} |
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.header { |
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padding: 15px; |
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} |
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.hf-badge { |
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position: static; |
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margin-top: 10px; |
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display: inline-block; |
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} |
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} |
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.loading { |
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display: flex; |
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justify-content: center; |
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align-items: center; |
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position: absolute; |
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top: 0; |
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left: 0; |
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right: 0; |
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bottom: 0; |
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background: rgba(26, 26, 46, 0.9); |
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color: white; |
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font-size: 18px; |
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} |
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.loading::after { |
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content: ''; |
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width: 40px; |
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height: 40px; |
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border: 4px solid rgba(255, 255, 255, 0.3); |
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border-top: 4px solid #4CAF50; |
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border-radius: 50%; |
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animation: spin 1s linear infinite; |
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margin-left: 15px; |
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} |
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@keyframes spin { |
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0% { transform: rotate(0deg); } |
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100% { transform: rotate(360deg); } |
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} |
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.pulse { |
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animation: pulse 2s infinite; |
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} |
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@keyframes pulse { |
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0% { opacity: 1; } |
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50% { opacity: 0.5; } |
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100% { opacity: 1; } |
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} |
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</style> |
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</head> |
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<body> |
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<div class="header"> |
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<div class="hf-badge">🤗 Hugging Face Space</div> |
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<h1>🚗 Embodied AI Vehicle Simulator</h1> |
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<p>Interactive autonomous vehicle navigation with real-time AI decision making</p> |
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</div> |
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<div class="main-container"> |
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<div class="simulation-area"> |
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<div class="canvas-container"> |
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<canvas id="simulationCanvas"></canvas> |
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<div class="loading" id="loadingIndicator"> |
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Initializing AI System... |
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</div> |
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</div> |
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<div class="legend"> |
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<div class="legend-item"> |
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<div class="legend-color" style="background: #4CAF50;"></div> |
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<span>Autonomous Vehicle</span> |
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</div> |
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<div class="legend-item"> |
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<div class="legend-color" style="background: #f44336;"></div> |
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<span>Obstacles</span> |
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</div> |
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<div class="legend-item"> |
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<div class="legend-color" style="background: #2196F3;"></div> |
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<span>Target Destinations</span> |
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</div> |
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<div class="legend-item"> |
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<div class="legend-color" style="background: #FFC107;"></div> |
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<span>LiDAR Sensors</span> |
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</div> |
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</div> |
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</div> |
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<div class="controls-panel"> |
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<div class="control-section"> |
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<h3>🎮 Simulation Controls</h3> |
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<button class="btn btn-primary" id="startBtn">▶️ Start Simulation</button> |
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<button class="btn btn-secondary" id="pauseBtn" disabled>⏸️ Pause</button> |
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<button class="btn btn-danger" id="resetBtn">🔄 Reset</button> |
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</div> |
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<div class="control-section"> |
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<h3>⚙️ AI Parameters</h3> |
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<div class="control-group"> |
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<label>Vehicle Speed</label> |
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<div class="slider-container"> |
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<input type="range" id="speedSlider" min="0" max="5" value="2" step="0.5"> |
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<span class="slider-value" id="speedValue">2.0</span> |
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</div> |
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</div> |
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<div class="control-group"> |
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<label>Sensor Range</label> |
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<div class="slider-container"> |
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<input type="range" id="sensorRange" min="50" max="200" value="100" step="10"> |
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<span class="slider-value" id="sensorValue">100</span> |
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</div> |
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</div> |
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<div class="control-group"> |
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<label>AI Behavior</label> |
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<select id="behaviorSelect"> |
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<option value="cautious">🐌 Cautious</option> |
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<option value="normal" selected>🚗 Normal</option> |
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<option value="aggressive">🏎️ Aggressive</option> |
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</select> |
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</div> |
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</div> |
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<div class="control-section"> |
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<h3>🏭 Environment</h3> |
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<button class="btn btn-secondary" id="addObstacleBtn">➕ Add Obstacle</button> |
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<button class="btn btn-secondary" id="addTargetBtn">🎯 Add Target</button> |
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<button class="btn btn-danger" id="clearBtn">🗑️ Clear All</button> |
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</div> |
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<div class="stats"> |
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<h4>📊 Performance Metrics</h4> |
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<div class="stat-item"> |
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<span class="stat-label">Distance Traveled:</span> |
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<span class="stat-value" id="distanceTraveled">0m</span> |
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</div> |
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<div class="stat-item"> |
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<span class="stat-label">Targets Reached:</span> |
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<span class="stat-value" id="targetsReached">0</span> |
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</div> |
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<div class="stat-item"> |
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<span class="stat-label">Obstacles Avoided:</span> |
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<span class="stat-value" id="obstaclesAvoided">0</span> |
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</div> |
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<div class="stat-item"> |
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<span class="stat-label">AI Decisions/sec:</span> |
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<span class="stat-value pulse" id="decisionsPerSec">0</span> |
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</div> |
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</div> |
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<div class="ai-info"> |
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<h4>🧠 AI Decision Engine</h4> |
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<div class="current-decision" id="currentDecision">System initializing...</div> |
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<p><strong>Embodied AI Features:</strong></p> |
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<ul> |
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<li>Real-time sensor processing</li> |
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<li>Dynamic path planning</li> |
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<li>Multi-objective optimization</li> |
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<li>Behavioral adaptation</li> |
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<li>Environmental coupling</li> |
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</ul> |
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</div> |
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</div> |
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</div> |
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<div class="footer"> |
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<p> |
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Built with ❤️ for the AI community • |
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<a href="https://huggingface.co/spaces" target="_blank">Hugging Face Spaces</a> • |
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Click to add targets, Shift+Click for obstacles |
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</p> |
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</div> |
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<script> |
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const canvas = document.getElementById('simulationCanvas'); |
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const ctx = canvas.getContext('2d'); |
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const loadingIndicator = document.getElementById('loadingIndicator'); |
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let devicePixelRatio = window.devicePixelRatio || 1; |
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function resizeCanvas() { |
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const container = canvas.parentElement; |
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const rect = container.getBoundingClientRect(); |
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canvas.width = rect.width * devicePixelRatio; |
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canvas.height = rect.height * devicePixelRatio; |
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canvas.style.width = rect.width + 'px'; |
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canvas.style.height = rect.height + 'px'; |
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ctx.scale(devicePixelRatio, devicePixelRatio); |
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} |
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resizeCanvas(); |
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window.addEventListener('resize', resizeCanvas); |
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let isRunning = false; |
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let isPaused = false; |
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let animationId = null; |
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let lastTime = 0; |
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let decisionCount = 0; |
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let lastDecisionTime = 0; |
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let frameCount = 0; |
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|
|
class AutonomousVehicle { |
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constructor(x, y) { |
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this.x = x; |
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this.y = y; |
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|
this.vx = 0; |
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|
this.vy = 0; |
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this.angle = 0; |
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|
this.speed = 2; |
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this.maxSpeed = 5; |
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|
this.size = 15; |
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|
this.sensorRange = 100; |
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|
this.sensors = []; |
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|
this.path = []; |
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|
this.currentTarget = null; |
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|
this.distanceTraveled = 0; |
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|
this.lastX = x; |
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|
this.lastY = y; |
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|
this.behavior = 'normal'; |
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|
this.avoidanceVector = { x: 0, y: 0 }; |
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|
this.stuckCounter = 0; |
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|
this.lastPosition = { x: x, y: y }; |
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|
this.wanderAngle = 0; |
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|
} |
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|
|
updateSensors() { |
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|
this.sensors = []; |
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|
const numSensors = 12; |
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|
|
for (let i = 0; i < numSensors; i++) { |
|
|
const angle = (i / numSensors) * 2 * Math.PI; |
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|
const endX = this.x + Math.cos(angle) * this.sensorRange; |
|
|
const endY = this.y + Math.sin(angle) * this.sensorRange; |
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|
|
let distance = this.sensorRange; |
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|
let hitObstacle = false; |
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|
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|
|
for (let obstacle of obstacles) { |
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|
const dx = obstacle.x - this.x; |
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|
const dy = obstacle.y - this.y; |
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|
const distToObstacle = Math.sqrt(dx * dx + dy * dy); |
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|
|
if (distToObstacle > 0) { |
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|
const angleToObstacle = Math.atan2(dy, dx); |
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|
let angleDiff = Math.abs(angle - angleToObstacle); |
|
|
if (angleDiff > Math.PI) angleDiff = 2 * Math.PI - angleDiff; |
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|
|
const detectionCone = 0.3; |
|
|
if (angleDiff < detectionCone) { |
|
|
const actualDistance = Math.max(0, distToObstacle - obstacle.size - 5); |
|
|
if (actualDistance < distance) { |
|
|
distance = actualDistance; |
|
|
hitObstacle = true; |
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|
} |
|
|
} |
|
|
} |
|
|
} |
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|
|
|
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|
|
const boundaryDistance = this.checkBoundaryDistance(angle); |
|
|
if (boundaryDistance < distance) { |
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|
distance = boundaryDistance; |
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|
} |
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|
|
this.sensors.push({ |
|
|
angle: angle, |
|
|
distance: distance, |
|
|
x: this.x + Math.cos(angle) * distance, |
|
|
y: this.y + Math.sin(angle) * distance, |
|
|
hitObstacle: hitObstacle |
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|
}); |
|
|
} |
|
|
} |
|
|
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|
|
checkBoundaryDistance(angle) { |
|
|
const canvasWidth = canvas.width / devicePixelRatio; |
|
|
const canvasHeight = canvas.height / devicePixelRatio; |
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|
|
|
const cos = Math.cos(angle); |
|
|
const sin = Math.sin(angle); |
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|
|
let distance = this.sensorRange; |
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|
|
if (cos > 0) { |
|
|
distance = Math.min(distance, (canvasWidth - this.x) / cos); |
|
|
} else if (cos < 0) { |
|
|
distance = Math.min(distance, -this.x / cos); |
|
|
} |
|
|
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|
|
if (sin > 0) { |
|
|
distance = Math.min(distance, (canvasHeight - this.y) / sin); |
|
|
} else if (sin < 0) { |
|
|
distance = Math.min(distance, -this.y / sin); |
|
|
} |
|
|
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|
|
return Math.max(0, distance - 10); |
|
|
} |
|
|
} |
|
|
</script> |
