Media Summary: Authors: Haoze Dong, Meng Guo, Chengyi He and Zhongkui Li Code: Theta* for geometric path planning. ORCA for path following with collision avoidance. Ad-hoc deadlock detection mechanism. Python Implementation of Reciprocal Velocity Obstacle (RVO) for

Mutli Agent Navigation - Detailed Analysis & Overview

Authors: Haoze Dong, Meng Guo, Chengyi He and Zhongkui Li Code: Theta* for geometric path planning. ORCA for path following with collision avoidance. Ad-hoc deadlock detection mechanism. Python Implementation of Reciprocal Velocity Obstacle (RVO) for Online Control Barrier Functions for Decentralized Multi-Agent Navigation In this video, we present a novel, end-to-end solution for coordinating an escort team for protecting high-value payloads in a ... Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Circle Scene)

Quanser YOUser Webinar - Compared to a single-agent system, Short presentation of the paper: J. Kottinger, S. Shaull Almagor, and M. Lahijanian, “Explainable Hybrid decision making for scalable multi-agent navigation Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full) This video highligths the resulting behavior of the C-Nav approach in Siddharth Nayak, MIT AeroAstro Thesis Defense Thursday, April 24, 2025 Title: Stairway to Autonomy: Hierarchical ...

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[IROS 2021] Human-Inspired Multi-Agent Navigation using Knowledge Distillation
Homotopy-aware Multi-agent Navigation via Distributed Model Predictive Control
Distributed Multi-agent Navigation Based on ORCA and MAPF solving
Multi-agent navigation with reciprocal collision avoidance based on velocity obstacle
Mutli-Agent Navigation
Online Control Barrier Functions for Decentralized Multi-Agent Navigation
C-TTC: Coordinating Multi-Agent Navigation by Learning Communication
Way Portals: Efficient Multi-agent Navigation with Line-segment Goals
Implicit Coordination in Crowded Multi-Agent Navigation
Defensive Escort Teams for Navigation in Crowds via Multi-Agent Deep RL (Presentation)
Adaptive Learning for Multi-Agent Navigation
Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Circle Scene)
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[IROS 2021] Human-Inspired Multi-Agent Navigation using Knowledge Distillation

[IROS 2021] Human-Inspired Multi-Agent Navigation using Knowledge Distillation

code: https://github.com/xupei0610/KDMA arXiv: https://arxiv.org/abs/2103.10000.

Homotopy-aware Multi-agent Navigation via Distributed Model Predictive Control

Homotopy-aware Multi-agent Navigation via Distributed Model Predictive Control

Authors: Haoze Dong, Meng Guo, Chengyi He and Zhongkui Li Code: https://github.com/HauserDong/HomoMPC.git.

Distributed Multi-agent Navigation Based on ORCA and MAPF solving

Distributed Multi-agent Navigation Based on ORCA and MAPF solving

Theta* for geometric path planning. ORCA for path following with collision avoidance. Ad-hoc deadlock detection mechanism.

Multi-agent navigation with reciprocal collision avoidance based on velocity obstacle

Multi-agent navigation with reciprocal collision avoidance based on velocity obstacle

Python Implementation of Reciprocal Velocity Obstacle (RVO) for

Mutli-Agent Navigation

Mutli-Agent Navigation

Demonstration of spot

Online Control Barrier Functions for Decentralized Multi-Agent Navigation

Online Control Barrier Functions for Decentralized Multi-Agent Navigation

Online Control Barrier Functions for Decentralized Multi-Agent Navigation

C-TTC: Coordinating Multi-Agent Navigation by Learning Communication

C-TTC: Coordinating Multi-Agent Navigation by Learning Communication

This work presents a decentralized

Way Portals: Efficient Multi-agent Navigation with Line-segment Goals

Way Portals: Efficient Multi-agent Navigation with Line-segment Goals

It is a common artifact of

Implicit Coordination in Crowded Multi-Agent Navigation

Implicit Coordination in Crowded Multi-Agent Navigation

In crowded

Defensive Escort Teams for Navigation in Crowds via Multi-Agent Deep RL (Presentation)

Defensive Escort Teams for Navigation in Crowds via Multi-Agent Deep RL (Presentation)

In this video, we present a novel, end-to-end solution for coordinating an escort team for protecting high-value payloads in a ...

Adaptive Learning for Multi-Agent Navigation

Adaptive Learning for Multi-Agent Navigation

When

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Circle Scene)

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Circle Scene)

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Circle Scene)

Multi-agent Autonomous Systems: Dynamics, Control and Navigation - Prof. Jinjun Shan

Multi-agent Autonomous Systems: Dynamics, Control and Navigation - Prof. Jinjun Shan

Quanser YOUser Webinar - Compared to a single-agent system,

Explainable Multi-Agent Motion Planning

Explainable Multi-Agent Motion Planning

Short presentation of the paper: J. Kottinger, S. Shaull Almagor, and M. Lahijanian, “Explainable

Hybrid decision making for scalable multi-agent navigation

Hybrid decision making for scalable multi-agent navigation

Hybrid decision making for scalable multi-agent navigation

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full)

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full)

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full)

C-Nav: distributed coordination in crowded multi agent navigation

C-Nav: distributed coordination in crowded multi agent navigation

This video highligths the resulting behavior of the C-Nav approach in

Navigation of Multi-Agent Systems in Cluttered and Restricted Environments Using Distributed LMPC

Navigation of Multi-Agent Systems in Cluttered and Restricted Environments Using Distributed LMPC

Simulation video for manuscript: "

Stairway to Autonomy for Multi-Agent Navigation (Siddharth Nayak, Thesis Defense)

Stairway to Autonomy for Multi-Agent Navigation (Siddharth Nayak, Thesis Defense)

Siddharth Nayak, MIT AeroAstro Thesis Defense | Thursday, April 24, 2025 Title: Stairway to Autonomy: Hierarchical ...

Multi Agent Flocking and Navigation

Multi Agent Flocking and Navigation

Multi