Human-Robot Collaboration: From Psychology to Social Robotics
This survey aims to improve HRC by bridging psychology and robotics, but it is incremental as it reviews existing findings without presenting new experimental results.
The paper addresses the lack of reliable human and environment representations in human-robot collaboration (HRC) by proposing an embodied approach inspired by psychological studies of human-human interaction, reviewing neuroscientific and robotic advances to identify mechanisms for active physical collaboration.
With the advances in robotic technology, research in human-robot collaboration (HRC) has gained in importance. For robots to interact with humans autonomously they need active decision making that takes human partners into account. However, state-of-the-art research in HRC does often assume a leader-follower division, in which one agent leads the interaction. We believe that this is caused by the lack of a reliable representation of the human and the environment to allow autonomous decision making. This problem can be overcome by an embodied approach to HRC which is inspired by psychological studies of human-human interaction (HHI). In this survey, we review neuroscientific and psychological findings of the sensorimotor patterns that govern HHI and view them in a robotics context. Additionally, we study the advances made by the robotic community into the direction of embodied HRC. We focus on the mechanisms that are required for active, physical human-robot collaboration. Finally, we discuss the similarities and differences in the two fields of study which pinpoint directions of future research.