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Optimal Path Planning and Coverage Control for Multi-Robot Persistent Coverage
Multi-robot cooperative learning for optimal field coverage
ROCO506 - ROS - Multi-robot Coverage Simulation
Multi-Robot Coverage using a Graph Neural Network
ROCO506 - ROS - Multi-Robot Coverage Demo
Multi-Robot Coverage Experiment
Federico Pratissoli / Distributed coverage control for multi-robot systems with limited capabilities
Adapting to Performance Variations in Multi-Robot Coverage
Adapting to Performance Variations in Multi-Robot Coverage
Multi-robot Coverage Path Planning using Hexagonal Segmentation for Geophysical Surveys
Constraint-Driven Coordinated Control of Multi-Robot Systems
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Last Updated: September 29, 2026
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Title: Learning to Coordinate for a Worker-Station Imagine you want to send multiple This video is the supplemental material for our paper "Dynamic J.M. Palacios-Gasós, Z. Talebpur, E. Montijano, C. Sagüés and A. Martinoli, "Optimal Path Planning and Read the paper here: arxiv.org/abs/2011.01119. Federico Pratissoli - UNIMORE, University of Modena and Reggio Emilia Talk Topic: Distributed Video supplement to our 2015 IEEE International Conference on gnotomista.com/research/constraints_driven_control/ arxiv.org/abs/1811.02465 Video submitted with the paper ...