Media Summary: Using Hierarchical Constraints to Avoid Conflicts in Multi-Objective Coverage Control of Multi-Agent Systems This simulation in Python shows an initial trajectory (red) which is in collision with the

Icaps 2017 Multi Agent Ergodic Coverage With Obstacle Avoidance - Detailed Analysis & Overview

Using Hierarchical Constraints to Avoid Conflicts in Multi-Objective Coverage Control of Multi-Agent Systems This simulation in Python shows an initial trajectory (red) which is in collision with the This video demonstrates a novel distributed Additional visualization of our coordination framework presented in our RAL+ICRA 2020 video. Link to supplementary video: ... The video shows a simulation of an RC-car going on a track while

A mechanism is proposed to influence the behavior of a group of robots by using Scegli tu il call tra jack tris o ne shift in space to controlla singolo My recent research on transit control to avoid bus bunching. To appear at IJCAI-2021( arxiv ... Multi agent sequential tasking in a group of Robots Pham Duy Hung and Trung Dung Ngo www.morelab.org 12 robots - This vidoe is a result for a SITL test applying distributed POMDP planning and Distributed NLHinf control for aerial

Video presentation of the paper: A. Serra-Gomez, B. Brito, H. Zhu, J. J. Chung and J. Alonso-Mora, ”Whom to Communicate: ...

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ICAPS 2017: Multi-Agent Ergodic Coverage with Obstacle Avoidance
RSS 2020, Spotlight Talk 67: Ergodic Specifications for Flexible Swarm Control: From User Command...
ICAPS 2017: Using Hierarchical Constraints to Avoid Conflicts in Multi-Agent Pathfinding
Multi-Objective Coverage Control of Multi-Agent Systems
Simulation of Estimation and Coverage Control for Multi-Robot
Decentralized Ergodic Control: Distribution-Driven Sensing and Exploration for Multi-Agent Systems
Multi-Agent Coverage Control
Persistent Coverage Control with CBFs
Trajectory optimization for avoiding obstacles
Distributed Coverage Control of ConstrainedConstant Speed Unicycle Multi Agent Systems
Visualization of Spatial Scheduling of Informative Meetings for Multi-Agent Persistent Coverage
Robust obstacle avoidance of a car on a track in simulation
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ICAPS 2017: Multi-Agent Ergodic Coverage with Obstacle Avoidance

ICAPS 2017: Multi-Agent Ergodic Coverage with Obstacle Avoidance

Multi

RSS 2020, Spotlight Talk 67: Ergodic Specifications for Flexible Swarm Control: From User Command...

RSS 2020, Spotlight Talk 67: Ergodic Specifications for Flexible Swarm Control: From User Command...

Ergodic

ICAPS 2017: Using Hierarchical Constraints to Avoid Conflicts in Multi-Agent Pathfinding

ICAPS 2017: Using Hierarchical Constraints to Avoid Conflicts in Multi-Agent Pathfinding

Using Hierarchical Constraints to Avoid Conflicts in

Multi-Objective Coverage Control of Multi-Agent Systems

Multi-Objective Coverage Control of Multi-Agent Systems

Multi-Objective Coverage Control of Multi-Agent Systems

Simulation of Estimation and Coverage Control for Multi-Robot

Simulation of Estimation and Coverage Control for Multi-Robot

This estimation and

Decentralized Ergodic Control: Distribution-Driven Sensing and Exploration for Multi-Agent Systems

Decentralized Ergodic Control: Distribution-Driven Sensing and Exploration for Multi-Agent Systems

We present a decentralized

Multi-Agent Coverage Control

Multi-Agent Coverage Control

Multi-Agent Coverage Control

Persistent Coverage Control with CBFs

Persistent Coverage Control with CBFs

Persistent Coverage Control with CBFs

Trajectory optimization for avoiding obstacles

Trajectory optimization for avoiding obstacles

This simulation in Python shows an initial trajectory (red) which is in collision with the

Distributed Coverage Control of ConstrainedConstant Speed Unicycle Multi Agent Systems

Distributed Coverage Control of ConstrainedConstant Speed Unicycle Multi Agent Systems

This video demonstrates a novel distributed

Visualization of Spatial Scheduling of Informative Meetings for Multi-Agent Persistent Coverage

Visualization of Spatial Scheduling of Informative Meetings for Multi-Agent Persistent Coverage

Additional visualization of our coordination framework presented in our RAL+ICRA 2020 video. Link to supplementary video: ...

Robust obstacle avoidance of a car on a track in simulation

Robust obstacle avoidance of a car on a track in simulation

The video shows a simulation of an RC-car going on a track while

Multi-Agent Control Using Coverage Over Time-Varying Domains

Multi-Agent Control Using Coverage Over Time-Varying Domains

A mechanism is proposed to influence the behavior of a group of robots by using

Model Predictive Coverage Control

Model Predictive Coverage Control

Scegli tu il call tra jack tris o ne shift in space to controlla singolo

【Research 02】Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning

【Research 02】Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning

My recent research on transit control to avoid bus bunching. To appear at IJCAI-2021(https://ijcai-21.org/) arxiv ...

Multi agent sequential tasking in a group of Robots

Multi agent sequential tasking in a group of Robots

Multi agent sequential tasking in a group of Robots

Distributed Coverage Control of Networked Multi-robot Systems

Distributed Coverage Control of Networked Multi-robot Systems

Pham Duy Hung and Trung Dung Ngo www.morelab.org 12 robots -

Multi-Agent Area Coverage (Distributed Planning and Control) with 4 agents

Multi-Agent Area Coverage (Distributed Planning and Control) with 4 agents

This vidoe is a result for a SITL test applying distributed POMDP planning and Distributed NLHinf control for aerial

turtleBots Multi-Agent Coverage Control

turtleBots Multi-Agent Coverage Control

turtleBots Multi-Agent Coverage Control

Learning Efficient Communication for Multi-Robot Collision Avoidance - Alvaro Serra

Learning Efficient Communication for Multi-Robot Collision Avoidance - Alvaro Serra

Video presentation of the paper: A. Serra-Gomez, B. Brito, H. Zhu, J. J. Chung and J. Alonso-Mora, ”Whom to Communicate: ...