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This video presents the simulation results of the paper titled " 2022 Data-driven Optimization Workshop: Optimization from Structured Samples for Distributed optimal coverage control of multiple unicyclerobots with state and input constraints Coverage control with density functions that depends on the robot's location We will talk about the last topic in this this course it is courage Pham Duy Hung and Trung Dung Ngo www.morelab.org Convex and non-convex structured environments.
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Coverage control with density functions that depends on the robot's location
Distributed Coverage Control of ConstrainedConstant Speed Unicycle Multi-Agent Systems
Model Predictive Coverage Control
Coverage Control of Multi-Agent Systems
Distributed Coverage Control of Networked Multi-robot Systems
Multi-Agent Coverage Control
Distributed Coverage Control of ConstrainedConstant Speed Unicycle Multi Agent Systems
Persistent Coverage Control with 3 drones
Persistent Coverage Control with CBFs
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Last Updated: June 14, 2026
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