Human movement prediction is difficult as humans naturally exhibit complex behaviors that
can change drastically from one environment to the next. In order to alleviate this issue, we …

Motion prediction in unstructured environments is a difficult problem and is essential for safe
and efficient human-robot space sharing and collaboration. In this work, we focus on …

In this paper, we tackle the problem of human-robot coordination in sequences of
manipulation tasks. Our approach integrates hierarchical human motion prediction with Task …

Personal robots assisting humans must perform complex manipulation tasks that are
typically difficult to specify in traditional motion planning pipelines, where multiple objectives …

We envision a humanoid robot to serve as a source of additional motion-support forces in
assistance for frail persons. In this context, we present a control strategy for a humanoid to …

Numerical optimization has become a popular approach to plan smooth motion trajectories
for robots. However, when sharing space with humans, balancing properly safety, comfort …

Weight tossing is a complex motion that combines multiple manual material handling tasks.
The combined motion reduces labor time but comes at the cost of increased physical strain …

Recent developments in motion capture technologies such as Microsoft Kinect and Vicon
systems have facilitated motion data acquisition in diverse areas such as entertainment …

A method for controlling bit-width for bi-directional optical flow (BDOF) for video coding
includes decoding a first reference picture and a second reference picture, the second …

Fig. 1: CNMP framework for learning full body motion. Given multiple trajectories for a single
or multiple behaviors, the system learns a robust representation that encodes the distribution …