Learning from demonstration (LfD) has been used to help robots to implement manipulation
tasks autonomously, in particular, to learn manipulation behaviors from observing the motion …

Reproducing the diverse and agile locomotion skills of animals has been a longstanding
challenge in robotics. While manually-designed controllers have been able to emulate many …

Robots that have different forms and capabilities are used in a wide variety of situations;
however, one common point to all robots interacting with humans is their ability to …

Training a high-dimensional simulated agent with an under-specified reward function often
leads the agent to learn physically infeasible strategies that are ineffective when deployed in …

Abstract Human–Robot Interaction (HRI) has recently received considerable attention in the
academic community, in labs, in technology companies, and through the media. Because of …

Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot
learning. To be effective, action learning should not be limited to direct replication of …

Legged robots are designed to perform highly dynamic motions. However, it remains
challenging for users to retarget expressive motions onto these complex systems. In this …

We investigate the use of prior knowledge of human and animal movement to learn reusable
locomotion skills for real legged robots. Our approach builds upon previous work on …

Controllable, reactive human motion is essential in many video games and training
environments. Characters in these applications often perform tasks based on modified …

How is communicative gesture behavior in robots perceived by humans? Although gesture
is crucial in social interaction, this research question is still largely unexplored in the field of …