TY - GEN
T1 - Passivity-based full-body force control for humanoids and application to dynamic balancing and locomotion
AU - Hyon, Sang Ho
AU - Cheng, Gordon
PY - 2006
Y1 - 2006
N2 - This paper proposes a passivity-based hierarchical full-body motion controller for force-controllable multi-DOF humanoid robots. The task-space forces are treated in a uniform manner for a variety of position/force tracking and force/moment compensation. The contact force closure is optimally solved and transformed directly into the joint torques in real-time without any joint trajectory planning. With this framework, we introduce gravity compensation at the lowest layer of the controller that makes the closed-loop system passive with respect to additional inputs as well as external forces. Furthermore, we propose two upper-layers: one layer controls the ground reaction forces, which enables the robot keep the dynamic balance. The other layer is the another passification control, which constructs an invariant manifold that prevents the robot from falling during walking. Four realistic dynamic simulations: balanced squatting, reaching, externally driven, or speed-controlled walking with disturbances demonstrate the effectiveness of the proposed methods.
AB - This paper proposes a passivity-based hierarchical full-body motion controller for force-controllable multi-DOF humanoid robots. The task-space forces are treated in a uniform manner for a variety of position/force tracking and force/moment compensation. The contact force closure is optimally solved and transformed directly into the joint torques in real-time without any joint trajectory planning. With this framework, we introduce gravity compensation at the lowest layer of the controller that makes the closed-loop system passive with respect to additional inputs as well as external forces. Furthermore, we propose two upper-layers: one layer controls the ground reaction forces, which enables the robot keep the dynamic balance. The other layer is the another passification control, which constructs an invariant manifold that prevents the robot from falling during walking. Four realistic dynamic simulations: balanced squatting, reaching, externally driven, or speed-controlled walking with disturbances demonstrate the effectiveness of the proposed methods.
KW - Balance
KW - Full-body motion control
KW - Gravity compensation
KW - Humanoid robots
KW - Locomotion
KW - Passivity
UR - https://www.scopus.com/pages/publications/34250647114
U2 - 10.1109/IROS.2006.282450
DO - 10.1109/IROS.2006.282450
M3 - Conference contribution
AN - SCOPUS:34250647114
SN - 142440259X
SN - 9781424402595
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 4915
EP - 4922
BT - 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
T2 - 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
Y2 - 9 October 2006 through 15 October 2006
ER -