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.

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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

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article

HARMONIOUS—Human-Like Reactive Motion Control and Multimodal Perception for Humanoid Robots

Alessandro Roncone, Matej Hoffmann, Ugo Pattacini, Jakub Rozlivek
5 citations
IEEE Transactions on Robotics
Robot Manipulation and Learning
1.64
article

HARMONIOUS—Human-Like Reactive Motion Control and Multimodal Perception for Humanoid Robots

Alessandro Roncone, Matej Hoffmann, Ugo Pattacini, Jakub Rozlivek
article en
5 citations

Abstract

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.

IEEE Transactions on RoboticsVol. 41
University of Colorado Boulder (US), Italian Institute of Technology (IT), Czech Technical University in Prague (CZ)
Grantová Agentura České Republiky
Openalex Percentile: Top 15%
Robot Manipulation and Learning
1.64
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HARMONIOUS—Human-Like Reactive Motion Control and Multimodal Perception for Humanoid Robots — Alessandro Roncone, Matej Hoffmann, et al. · IEEE Transactions on Robotics (2024) | TGRS Research Map | TGRS