for people with strong pre-existing negative sentiments towards robots. Methods for human–robot coordination A large body of work in the field of human–robot interaction has looked at how humans and robots may better collaborate. The primary social cue for humans while collaborating is the shared perception of an activity, to this end researchers have investigated anticipatory robot control through various methods including: monitoring the behaviors of human partners using eye tracking, making inferences about human task intent, and proactive action on the part of the robot. The studies revealed that the anticipatory control helped users perform tasks faster than with reactive control alone. A common approach to program social cues into robots is to first study human–human behaviors and then transfer the learning. For example, coordination mechanisms in human–robot collaboration are based on work in neuroscience which examined how to enable joint action in human–human configuration by studying perception and action in a social context rather than in isolation. These studies have revealed that maintaining a shared representation of the task is crucial for accomplishing tasks in groups. For example, the authors have examined the task of driving together by separating responsibilities of acceleration and braking i.e., one person is responsible for accelerating and the other for braking; the study revealed that pairs reached the same level of performance as individuals only when they received feedback about the timing of each other's actions. Similarly, researchers have studied the aspect of human–human handovers with household scenarios like passing dining plates in order to enable an adaptive control of the same in human–robot handovers. Another study in the domain of Human Factors and Ergonomics of human–human handovers in warehouses and supermarkets reveal that Givers and Receivers perceive handover tasks differently which has significant implications for designing user-centric human–robot collaborative systems. Most recently, researchers have studied a system that automatically distributes assembly tasks among co-located workers to improve co-ordination. Application Areas The application areas of human–robot interaction include robotic technologies that are used by humans for industry, medicine, and companionship, among other purposes. Industrial Robots Industrial robots have been implemented to collaborate with humans to perform industrial manufacturing tasks. While humans have the flexibility and the intelligence to consider different approaches to solve the problem, choose the best option among all choices, and then command robots to perform assigned tasks, robots are able to be more precise and more consistent in performing repetitive