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Engineering artificial intelligence
Problem solving
Multi agent traffic and avoidance
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Contents
Table of Contents
Outline
2.5 Multi-Agent Traffic and Avoidance
2.5.1 Outline
Why single-agent plans fail with other robots; simple contention models
Priority rules, time-expanded grids, and staggered starts as lightweight fixes
Brief look at joint planning vs decentralized heuristics; cost/complexity tradeoffs
Mini-experiment: add another robot to the warehouse and measure delays/collisions
Foreshadow: RL and control methods to handle interaction and uncertainty
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Constraints and Scheduling
5 of 5