Human-like Motion For Anthropomorphic Robots

Robots interacting with humans can benefit from communicating in a manner that is socially relevant and familiar to their human partners. Believable behavior establishes appropriate social expectations. Our work addresses the overall problem of how to generate believable or human-like motion for an anthropomorphic robot. Anthropomorphic robot bodies are different from human bodies.
The challenge is to create human-like motion for robots autonomously from minimal input information, despite the differences between robots and humans. Our work focuses on a series of algorithms that work toward improving motion quality for social robots.