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Content Provider | IEEE Xplore Digital Library |
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Author | Di Rocco, M. Pecora, F. Saffiotti, A. |
Copyright Year | 2013 |
Description | Author affiliation: Center for Appl. Autonomous Sensor Syst., Orebro Univ., Orebro, Sweden (Di Rocco, M.; Pecora, F.; Saffiotti, A.) |
Abstract | Unexpected contingencies in robot execution may induce a cascade of effects, especially when multiple robots are involved. In order to effectively adapt to this, robots need the ability to reason along multiple dimensions at execution time. We propose an approach to closed-loop planning capable of generating configuration plans, i.e., action plans for multirobot systems which specify the causal, temporal, resource and information dependencies between individual sensing, computation, and actuation components. The key feature which enables closed loop performance is that configuration plans are represented as constraint networks, which are shared between the planner and the executor and are continuously updated during execution. We report experiments run both in simulation and on real robots, in which a fault in one robot is compensated through different types of plan modifications at run time. |
Sponsorship | IEEE Ind. Electron. Soc. |
File Size | 1409588 |
Starting Page | 9515 |
Ending Page | 5922 |
File Format | |
ISSN | 21530858 |
DOI | 10.1109/IROS.2013.6697214 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-11-03 |
Publisher Place | Japan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Robot sensing systems Planning Cognition Dynamic scheduling Navigation |
Content Type | Text |
Resource Type | Article |
Subject | Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software |
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