TaskNet: A Neural Task Planner for Autonomous Excavator
Jinxin Zhao Liangjun Zhang Jinxin Zhao Liangjun Zhang
We present a novel task planner - TaskNet for an autonomous excavator based on a data-driven method, which plans feasible task-level sequence by learning from demonstration data. Given a high-level excavation objective, our TaskNet planner can decompose it into sub-tasks, each of which can be further decomposed into task primitives with specifications. We train our TaskNet using an excavation trac...