TY - GEN
T1 - Go Fetch! - Dynamic Grasps using Boston Dynamics Spot with External Robotic Arm
AU - Zimmermann, Simon
AU - Poranne, Roi
AU - Coros, Stelian
N1 - Publisher Copyright: © 2021 IEEE
PY - 2021
Y1 - 2021
N2 - We combine Boston Dynamics Spot®R with a lightweight, external robot arm to perform dynamic grasping maneuvers. While Spot is a reliable, robust and easy-to-control mobile robot, these highly desirable qualities come with the price that the control access granted to the user is restricted. Consequently Spot's behavior must largely be treated as a black box, which causes difficulties when combined with a moving payload such as a robotic arm. We overcome the arising challenges by building a model of the combined platform, fitting the corresponding model parameters using experimental data and a straight-forward optimization framework. We use this model to generate control commands for the physical platform using trajectory optimization. We demonstrate that even with a simple model, and control trajectories deployed in a feed-forward manner, the combined platform is capable of executing grasping tasks in a dynamic fashion. Furthermore, we show how the platform can use the additional degrees of freedom of the legs to extend the reachability of the arm.
AB - We combine Boston Dynamics Spot®R with a lightweight, external robot arm to perform dynamic grasping maneuvers. While Spot is a reliable, robust and easy-to-control mobile robot, these highly desirable qualities come with the price that the control access granted to the user is restricted. Consequently Spot's behavior must largely be treated as a black box, which causes difficulties when combined with a moving payload such as a robotic arm. We overcome the arising challenges by building a model of the combined platform, fitting the corresponding model parameters using experimental data and a straight-forward optimization framework. We use this model to generate control commands for the physical platform using trajectory optimization. We demonstrate that even with a simple model, and control trajectories deployed in a feed-forward manner, the combined platform is capable of executing grasping tasks in a dynamic fashion. Furthermore, we show how the platform can use the additional degrees of freedom of the legs to extend the reachability of the arm.
UR - http://www.scopus.com/inward/record.url?scp=85125497492&partnerID=8YFLogxK
U2 - 10.1109/ICRA48506.2021.9561835
DO - 10.1109/ICRA48506.2021.9561835
M3 - Conference contribution
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 1170
EP - 1176
BT - 2021 IEEE International Conference on Robotics and Automation, ICRA 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Robotics and Automation, ICRA 2021
Y2 - 30 May 2021 through 5 June 2021
ER -