Whole-body hierarchical motion and force control for humanoid robots

• Published in: Autonomous robots Vol. 40; no. 3; pp. 493 - 504
• Main Authors: Liu, Mingxing, Lober, Ryan, Padois, Vincent
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2016; Springer Nature B.V; Springer Verlag
• Subjects: Artificial Intelligence; Automatic; Computer Imaging; Computer Science; Control; Deactivation; Engineering; Engineering Sciences; Hierarchies; Human motion; Humanoid; Mechatronics; Pattern Recognition and Graphics; Quadratic programming; Robot control; Robot dynamics; Robotics; Robotics and Automation; Robots; Stability; Vision; Physical contact; Whole-body control; Humanoid robots; Torque-based control
• ISSN: 0929-5593; 1573-7527
• DOI: 10.1007/s10514-015-9513-5

Robots acting in human environments usually need to perform multiple motion and force tasks while respecting a set of constraints. When a physical contact with the environment is established, the newly activated force task or contact constraint may interfere with other tasks. The objective of this paper is to provide a control framework that can achieve real-time control of humanoid robots performing both strict and non strict prioritized motion and force tasks. It is a torque-based quasi-static control framework, which handles a dynamically changing task hierarchy with simultaneous priority transitions as well as activation or deactivation of tasks. A quadratic programming problem is solved to maintain desired task hierarchies, subject to constraints. A generalized projector is used to quantitatively regulate how much a task can influence or be influenced by other tasks through the modulation of a priority matrix. By the smooth variations of the priority matrix, sudden hierarchy rearrangements can be avoided to reduce the risk of instability. The effectiveness of this approach is demonstrated on both a simulated and a real humanoid robot.