3rd Workshop on Long-term Human Motion Prediction (LHMP)
Part 6: Invited talk by Maren Bennewitz (University of Bonn)
Service robots that help humans in their everyday life should avoid interferences with them and adapt their navigation behavior accordingly. This requires a robot to anticipate the user's movements and to infer where support will be needed. In this talk, I present an approach that predicts the user’s navigation goal based on the robot’s observations and prior knowledge about typical human transitions between objects. Our system then generates a navigation strategy that minimizes the robot’s arrival time at the navigation goal and, at the same time, complies with the user’s comfort during the movement.
IEEE International Conference on Robotics and Automation (ICRA),
May 31, 2021
https://motionpredictionicra2021.gith...