TY - GEN
T1 - Optimal kinematic control of humanoid arms with offset wrist
AU - Huo, Xijian
AU - Liu, Yiwei
AU - Jiang, Li
AU - Liu, Hong
PY - 2014
Y1 - 2014
N2 - This paper proposes the optimal inverse kinematic solutions of a 7R humanoid arm using the reconfiguration method and the self-optimizing method. Firstly, based on analyses of the humanoid arm with offset wrist, the reconfiguration method is proposed. Given the specified hand pose in Cartesian space, a closed-loop robot is developed by virtually connecting two ends of the humanoid arm. And then, the equivalent robot arm with a spherical wrist can be obtained by cutting open the kinematic chain at another link. And closed-form solutions of the humanoid arm are determined based on the seventh joint parameterization. Secondly, in order to realize kinematic optimizations of joint limits avoidance, the self-optimizing method is proposed based on the virtual force. The joint movable range is divided into the dangerous zone and the safe zone, and the evaluation of solutions in the dangerous zone is equivalent to the virtual force. Driven by the virtual force, the kinematic optimizations are performed using the iterative algorithm. Finally, kinematic simulations demonstrate that the virtual reconfiguration method is valid for inverse kinematics of humanoid arms with offset wrist, and kinematic optimizations are performed efficiently using the self-optimizing method.
AB - This paper proposes the optimal inverse kinematic solutions of a 7R humanoid arm using the reconfiguration method and the self-optimizing method. Firstly, based on analyses of the humanoid arm with offset wrist, the reconfiguration method is proposed. Given the specified hand pose in Cartesian space, a closed-loop robot is developed by virtually connecting two ends of the humanoid arm. And then, the equivalent robot arm with a spherical wrist can be obtained by cutting open the kinematic chain at another link. And closed-form solutions of the humanoid arm are determined based on the seventh joint parameterization. Secondly, in order to realize kinematic optimizations of joint limits avoidance, the self-optimizing method is proposed based on the virtual force. The joint movable range is divided into the dangerous zone and the safe zone, and the evaluation of solutions in the dangerous zone is equivalent to the virtual force. Driven by the virtual force, the kinematic optimizations are performed using the iterative algorithm. Finally, kinematic simulations demonstrate that the virtual reconfiguration method is valid for inverse kinematics of humanoid arms with offset wrist, and kinematic optimizations are performed efficiently using the self-optimizing method.
KW - Closed-form solutions
KW - Joint limits
KW - Offset wrist
KW - Self-optimizing method
KW - Virtual reconfiguration method
UR - https://www.scopus.com/pages/publications/84906980923
U2 - 10.1109/ICMA.2014.6885836
DO - 10.1109/ICMA.2014.6885836
M3 - 会议稿件
AN - SCOPUS:84906980923
SN - 9781479939787
T3 - 2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014
SP - 1011
EP - 1016
BT - 2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014
PB - IEEE Computer Society
T2 - 11th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014
Y2 - 3 August 2014 through 6 August 2014
ER -