In the context of robotics and automation, learning from demonstration (LfD) is the paradigm
in which robots acquire new skills by learning to imitate an expert. The choice of LfD over …

Collaborative robots (cobots) have been increasingly adopted in industries to facilitate
human–robot collaboration. Despite this, it is challenging to program cobots for collaborative …

Machine tasks in workshops or factories are often a compound sequence of local, spatial,
and body-coordinated human-machine interactions. Prior works have shown the merits of …

We present GhostAR, a time-space editor for authoring and acting Human-Robot-
Collaborative (HRC) tasks in-situ. Our system adopts an embodied authoring approach in …

Interaction control presents opportunities for contact robots physically interacting with their
human user, such as assistance targeted to each human user, communication of goals to …

We present a method for learning human-robot collaboration policy from human-human
collaboration demonstrations. An effective robot assistant must learn to handle diverse …

Behavioral cloning of imitation learning is theoretically sound that can capture and generate
the motor skills from expert demonstrations, but they suffer poor adaptability with a small …

Recent advances in physical Human-Robot Interaction (pHRI) have shown the potential and
feasibility of robot systems for active and safe collaboration with humans. This induces high …

作为机器人技能学习中的一个重要分支, 模仿学习近年来在机器人系统中得到了广泛的应用.
模仿学习能够将人类的技能以一种相对直接的方式迁移到机器人系统中, 其思路是先从少量示教 …

While seemingly simple, handover requires joint coordinate efforts from both partners,
commonly in dynamic collaborative scenarios. Practically, humans are able to adapt and …