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2021 29th Mediterranean Conference on Control and Automation (MED) / Institute of Electrical and Electronics Engineers (IEEE).

IEEE Xplore (IEEE/IET Electronic Library - IEL) Available online

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Format:
Book
Author/Creator:
Institute of Electrical and Electronics Engineers (IEEE), author, issuing body.
Language:
English
Subjects (All):
Automatic control--Congresses.
Automatic control.
Automation--Congresses.
Automation.
Physical Description:
1 online resource : illustrations
Other Title:
2021 29th Mediterranean Conference on Control and Automation
Place of Publication:
Piscataway, New Jersey : Institute of Electrical and Electronics Engineers (IEEE), 2021.
Summary:
This paper studies optimal motion planning of multiple mobile robots with collision avoidance. We develop a distributed reinforcement learning algorithm which ensures suboptimal goal reaching and anytime collision avoidance simultaneously. Theoretical results on the convergence of neural network weights, the uniform and ultimate boundedness of system states of the closed-loop system, and anytime collision avoidance are established. Numerical simulations for single integrator and unicycle robots illustrate the effectiveness of our theoretical results.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
1-66542-258-0

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