TY - GEN
T1 - Hand-object contact force synthesis for manipulating objects by exploiting environment
AU - Patankar, Aditya
AU - Fakhari, Amin
AU - Chakraborty, Nilanjan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/24
Y1 - 2020/10/24
N2 - In this paper, we study the problem of computing grasping forces for quasi-static manipulation of large and heavy objects, by exploiting object-environment contacts. We present a general formulation of this problem as a Second-Order Cone Program (SOCP) that considers (i) contact friction constraints at the object-manipulator contacts and object-environment contacts, (ii) force/moment equilibrium constraints, and (iii) manipulator joint torque constraints. The SOCP formulation implies that the optimal grasping forces for manipulating objects with the help of the environment can be computed efficiently. Different optimization objectives like minimizing contact forces at the object-manipulator contacts or minimizing joint torques of manipulators can be considered. We evaluated our method by simulations of single-handed and dual-handed manipulation scenarios.
AB - In this paper, we study the problem of computing grasping forces for quasi-static manipulation of large and heavy objects, by exploiting object-environment contacts. We present a general formulation of this problem as a Second-Order Cone Program (SOCP) that considers (i) contact friction constraints at the object-manipulator contacts and object-environment contacts, (ii) force/moment equilibrium constraints, and (iii) manipulator joint torque constraints. The SOCP formulation implies that the optimal grasping forces for manipulating objects with the help of the environment can be computed efficiently. Different optimization objectives like minimizing contact forces at the object-manipulator contacts or minimizing joint torques of manipulators can be considered. We evaluated our method by simulations of single-handed and dual-handed manipulation scenarios.
UR - https://www.scopus.com/pages/publications/85100285173
U2 - 10.1109/IROS45743.2020.9341316
DO - 10.1109/IROS45743.2020.9341316
M3 - Conference contribution
AN - SCOPUS:85100285173
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 9182
EP - 9189
BT - 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020
Y2 - 24 October 2020 through 24 January 2021
ER -