TY - GEN
T1 - Efficient Distributed Torque Computation for Large Scale Robot Skin
AU - Bergner, Florian
AU - Dean-Leon, Emmanuel
AU - Cheng, Gordon
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/27
Y1 - 2018/12/27
N2 - The realization of a kinesthetic robot behavior using robot skin requires a reactive skin torque controller, which fuses skin information and robot information to an appropriate skin joint torque in real-time. This fusion of information in real-time is challenging when deploying large scale skin. In this paper, we present a system which efficiently computes the torque of distributed skin cells locally at the point of contacts, completely removing this complex computations from the real-time loop. We demonstrate the feasibility of realizing the skin joint torque computations on the local micro-controllers of the skin cells. Conducting experiments with a real robot, we compare the accuracy of the distributed skin joint torque computation with the computation on the control PC. We also show that the novel distributed approach completely eliminates the computational delay of computing skin joint torques in the robot's real-time control loop. As a result, this approach removes any limits for the maximum number of skin cells in control.
AB - The realization of a kinesthetic robot behavior using robot skin requires a reactive skin torque controller, which fuses skin information and robot information to an appropriate skin joint torque in real-time. This fusion of information in real-time is challenging when deploying large scale skin. In this paper, we present a system which efficiently computes the torque of distributed skin cells locally at the point of contacts, completely removing this complex computations from the real-time loop. We demonstrate the feasibility of realizing the skin joint torque computations on the local micro-controllers of the skin cells. Conducting experiments with a real robot, we compare the accuracy of the distributed skin joint torque computation with the computation on the control PC. We also show that the novel distributed approach completely eliminates the computational delay of computing skin joint torques in the robot's real-time control loop. As a result, this approach removes any limits for the maximum number of skin cells in control.
UR - http://www.scopus.com/inward/record.url?scp=85062996378&partnerID=8YFLogxK
U2 - 10.1109/IROS.2018.8594144
DO - 10.1109/IROS.2018.8594144
M3 - Conference contribution
AN - SCOPUS:85062996378
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 1593
EP - 1599
BT - 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
Y2 - 1 October 2018 through 5 October 2018
ER -