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...

Full description

Bibliographic Details
Main Authors: Axelrod, Brian, Kaelbling, Leslie, Lozano-Perez, Tomas
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Robotics: Science and Systems Foundation 2021
Online Access:https://hdl.handle.net/1721.1/137695

Similar Items