Abstract
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.
| Original language | English |
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| Title of host publication | 2021 IEEE International Conference on Robotics and Automation, ICRA 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1170-1176 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781728190778 |
| DOIs | |
| State | Published - 2021 |
| Event | 2021 IEEE International Conference on Robotics and Automation, ICRA 2021 - Xi'an, China Duration: 30 May 2021 → 5 Jun 2021 |
Publication series
| Name | Proceedings - IEEE International Conference on Robotics and Automation |
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| Volume | 2021-May |
| ISSN (Print) | 1050-4729 |
Conference
| Conference | 2021 IEEE International Conference on Robotics and Automation, ICRA 2021 |
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| Country/Territory | China |
| City | Xi'an |
| Period | 30/05/21 → 5/06/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Artificial Intelligence