Active Exploitation of Redundancies in Reconfigurable Multirobot Systems
While traditional robotic systems come with a monolithic system design, reconfigurable multirobot systems can share and shift physical resources in an on-demand fashion. Multirobot operations can benefit from this flexibility by actively managing system redundancies depending on current tasks and ha...
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| Published in: | IEEE transactions on robotics Vol. 38; no. 1; pp. 180 - 196 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
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New York
IEEE
01.02.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1552-3098, 1941-0468 |
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| Abstract | While traditional robotic systems come with a monolithic system design, reconfigurable multirobot systems can share and shift physical resources in an on-demand fashion. Multirobot operations can benefit from this flexibility by actively managing system redundancies depending on current tasks and having more options to respond to failure events. To support this active exploitation of redundancies in robotic systems, this article details an organization model as basis for planning with reconfigurable multirobot systems. The model allows us to exploit redundancies when optimizing a multirobot system's probability of survival with respect to a desired mission. The resulting planning approach trades safety against efficiency in robotic operations and thereby offers a new perspective and tool to design and improve multirobot missions. We use a simulated multirobot planetary exploration mission to evaluate this approach and highlight an exemplary performance landscape. Our implementation of the organization model is open-source available ( https://github.com/rock-knowledge-reasoning/knowledge-reasoning-moreorg ). |
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| AbstractList | While traditional robotic systems come with a monolithic system design, reconfigurable multirobot systems can share and shift physical resources in an on-demand fashion. Multirobot operations can benefit from this flexibility by actively managing system redundancies depending on current tasks and having more options to respond to failure events. To support this active exploitation of redundancies in robotic systems, this article details an organization model as basis for planning with reconfigurable multirobot systems. The model allows us to exploit redundancies when optimizing a multirobot system's probability of survival with respect to a desired mission. The resulting planning approach trades safety against efficiency in robotic operations and thereby offers a new perspective and tool to design and improve multirobot missions. We use a simulated multirobot planetary exploration mission to evaluate this approach and highlight an exemplary performance landscape. Our implementation of the organization model is open-source available ( https://github.com/rock-knowledge-reasoning/knowledge-reasoning-moreorg ). |
| Author | Roehr, Thomas M. |
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| SubjectTerms | Exploitation Multi-robot systems Multiple robots Multirobot systems Organizations Planning Reasoning reconfigurable robots Reconfiguration Redundancy Robot kinematics Robotics Robots scheduling and coordination Space exploration space robotics and automation Systems design Task analysis |
| Title | Active Exploitation of Redundancies in Reconfigurable Multirobot Systems |
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