Spatiotemporal Correspondence as a Metric for Human-like Robot Motion
Gielniak, Michael J.
Thomaz, Andrea L.
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Coupled degrees-of-freedom exhibit correspondence, in that their trajectories in uence each other. In this paper we add evidence to the hypothesis that spatiotemporal corre- spondence (STC) of distributed actuators is a component of human-like motion. We demonstrate a method for making robot motion more human-like, by optimizing with respect to a nonlinear STC metric. Quantitative evaluation of STC between coordinated robot motion, human motion capture data, and retargeted human motion capture data projected onto an anthropomorphic robot suggests that coordinating robot motion with respect to the STC metric makes the motion more human-like. A user study based on mimick- ing shows that STC-optimized motion is (1) more often rec- ognized as a common human motion, (2) more accurately identi ed as the originally intended motion, and (3) mim- icked more accurately than a non-optimized version. We conclude that coordinating robot motion with respect to the STC metric makes the motion more human-like. Finally, we present and discuss data on potential reasons why coordi- nating motion increases recognition and ability to mimic.