HARMONIOUS—Human-Like Reactive Motion Control and Multimodal Perception for Humanoid Robots
For safe and effective operation of humanoid robots in human-populated environments, the problem of commanding a large number of degrees of freedom (DoFs) while simultaneously considering dynamic obstacles and human proximity has still not been solved. In this article, we present a new reactive motion controller that commands two arms of a humanoid robot and three torso joints (17 DoF in total). We formulate a quadratic program that seeks joint velocity commands respecting multiple constraints while minimizing the magnitude of the velocities. We introduce a new unified treatment of obstacles that dynamically maps visual and proximity (precollision) and tactile (postcollision) obstacles as additional constraints to the motion controller, in a distributed fashion over the surface of the upper body of the iCub robot (with 2000 pressure-sensitive receptors). This results in a bioinspired controller that: first, gives rise to a robot with whole-body visuo-tactile awareness, resembling peripersonal space representations, and, second, produces human-like minimum jerk movement profiles. The controller was extensively experimentally validated, including a physical human–robot interaction scenario.
Authors
- Alessandro Roncone (ORCID: https://orcid.org/0000-0001-7385-1875)
- Matej Hoffmann (ORCID: https://orcid.org/0000-0001-8137-3412)
- Ugo Pattacini (ORCID: https://orcid.org/0000-0001-8754-1632)
- Jakub Rozlivek (ORCID: https://orcid.org/0000-0002-8713-7696)
Institutions
- University of Colorado Boulder (US)
- Italian Institute of Technology (IT)
- Czech Technical University in Prague (CZ)
Publication Details
- Journal
- IEEE Transactions on Robotics
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1109/tro.2024.3502216
- Citations
- 5
- Primary Topic
- Robot Manipulation and Learning
- Type
- article
- Field-Weighted Citation Impact
- 1.64
Funders
- Grantová Agentura České Republiky