Provably Safe Robot Navigation with Obstacle Uncertainty
© 2017 MIT Press Journals. All rights reserved. As drones and autonomous cars become more widespread it is becoming increasingly important that robots can operate safely under realistic conditions. The noisy information fed into real systems means that robots must use estimates of the environment to...
Main Authors: | Axelrod, Brian, Kaelbling, Leslie, Lozano-Perez, Tomas |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Robotics: Science and Systems Foundation
2021
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Online Access: | https://hdl.handle.net/1721.1/137695 |
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