Publication
Fast Dynamic Walking with RH5 Humanoid Robot
Ivan Bergonzani; Mihaela Popescu; Shivesh Kumar; Frank Kirchner
In: 2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids), December 12-14, Austin, TX, USA, ISBN 979-8-3503-0327-8, IEEE, 2023.
Abstract
Humanoid robots have the potential of becoming general purpose robots augmenting the human work-force in industries. However, they must match the agility and versatility of humans. It is particularly challenging for humanoids actuated with electric drives to achieve that as one must strive for the right balance between mass-inertial distribution in the robot as well as velocity and force transmissions in its actuation concept. In addition to optimal design of the robot, the control system must be designed to exploit the full potential of the robot. In this paper, we perform experimental investigations on the dynamic walking capabilities of a series-parallel hybrid humanoid named RH5. We demonstrate that it is possible to walk up to speeds of 0.43 m/s with a position controlled robot without full state feedback which makes it one of the fastest walking humanoids with similar size and actuation modalities. Video of the experiments is available at: https://youtu.be/39GL2vPedGY
Projekte
KiMMI SF - Adaptive software framework for context-sensitive, intuitive man-machine-interaction,
VeryHuman - Learning and Verifying Complex Behaviour of Humanoid Robots,
M-RoCK - Human-Machine Interaction Modeling for Continuous Improvement of Robot Behavior
VeryHuman - Learning and Verifying Complex Behaviour of Humanoid Robots,
M-RoCK - Human-Machine Interaction Modeling for Continuous Improvement of Robot Behavior