RADMPC: A Fast Decentralized Approach for Chance-Constrained Multi-Vehicle Path-Planning

25 Nov 2018Aaron HuangBenjamin J. AytonBrian C. Williams

Robust multi-vehicle path-planning is important for ensuring the safety of multi-vehicle systems in applications like transportation, search and rescue, and robotic exploration. Chance-constrained methods like Iterative Risk Allocation (IRA)\cite{IRA} have been developed for situations where environmental disturbances are unbounded... (read more)

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