IEEE - Institute of Electrical and Electronics Engineers, Inc. - Sampling-based min-max uncertainty path planning

2016 IEEE 55th Conference on Decision and Control (CDC)

Author(s): Brendan Englot ; Tixiao Shan ; Shaunak D. Bopardikar ; Alberto Speranzon
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 December 2016
Conference Location: Las Vegas, NV, USA
Conference Date: 12 December 2016
Page(s): 6,863 - 6,870
ISBN (Electronic): 978-1-5090-1837-6
ISBN (DVD): 978-1-5090-1844-4
DOI: 10.1109/CDC.2016.7799326
Regular:

We propose a new sampling-based path planning algorithm, the Min-Max Rapidly Exploring Random Tree (MM-RRT*), for robot path planning under localization uncertainty. The projected growth of error... View More

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