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Philipp Kratzer

2 accepted papers

2021

MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze

RA-L 2021

As robots become more present in open human environments, it will become crucial for robotic systems to understand and predict human motion. Such capabilities depend heavily on the quality and availability of motion capture data. However, existing datasets of full-body motion rarely include 1) long

Cited by 56SourcecodeScholar
2020

Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks

ICRA 2020poster

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 propose a prediction framework that decouples short-term prediction, linked to internal body dynamics, and long-term…

Cited by 52SourceScholar