We want to build robots capable of rich social interactions with humans, including natural
communication and cooperation. This work explores how imitation as a social learning and …

As the field of communications networks continues to evolve, the challenging area of
wireless sensor networks is rapidly coming of age. Recent advances have made it possible …

Temporal segmentation of human motion into plausible motion primitives is central to
understanding and building computational models of human motion. Several issues …

Much of the motion capture data used in animations, commercials, and video games is
carefully segmented into distinct motions either at the time of capture or by hand after the …

In this paper we focus on the concept of low-dimensional posture subspaces for artificial
hands. We begin by discussing the applicability of a hand configuration subspace to the …

This paper presents new methods for automatic classification and retrieval of motion capture
data facilitating the identification of logically related motions scattered in some database. As …

In this paper we describe an approach for on-line, incremental learning of full body motion
primitives from observation of human motion. The continuous observation sequence is first …

Temporal segmentation of human motion into actions is central to the understanding and
building of computational models of human motion and activity recognition. Several issues …

Demonstration trajectories collected from a supervisor in teleoperation are widely used for
robot learning, and temporally segmenting the trajectories into shorter, less-variable …

Hybrid terrain-adaptive lower-extremity apparatus and methods that perform in a variety of
different situations by detecting the terrain that is being traversed, and adapting to the …