Media Summary: This video demonstrates an application of the OrG-U-I algorithm for the Demonstration paper (submitted to AAMAS-23) Video submitted with the paper "Notomista, Mayya, ...

Resilient Multi Robot Task Optimization - Detailed Analysis & Overview

This video demonstrates an application of the OrG-U-I algorithm for the Demonstration paper (submitted to AAMAS-23) Video submitted with the paper "Notomista, Mayya, ... The complete framework is shown to be faster than a Monte Carlo approach for the same accuracy in two This presentation was prepared for the workshop on Heterogeneous Related research article: D. Chiu, R. Nagpal, and B. Haghighat, "

Planning efficient and coordinated policies for a team of ICRA 2023 paper video We present a novel reinforcement learning based algorithm for Published in IROS 2025 Hangzhou. Best paper finalist. Available at: www.arxiv.org/pdf/2409.11230 Abstract:

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Resilient Multi-Robot Task Optimization: Persistent Monitoring Case Study
Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance
An Optimal Task Allocation Strategy for Heterogeneous Multi-Robot Systems
Decentralized Multi-Robot Task Allocation with Time Window and Ordering Constraints
Resilient task allocation for heterogeneous multi robot systems
Modelling Resource Contention in Multi-Robot Task Allocation Problems with Uncertain Timing
Improved Resilient Coverage Maximization with Multiple Robots
Resilient Task Allocation in Heterogeneous Multi-Robot Systems
Optimization of Energy Constrained Multi - Robot Warehouse System
Optimization and Evaluation of a Multi Robot Surface Inspection Task Through PSO
Improving Multi-Robot Behavior Using Learning-Based Receding Horizon Task Allocation
RTAW: An Attention Inspired RL Method for Multi-Robot Task Allocation in Warehouse Environments
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Resilient Multi-Robot Task Optimization: Persistent Monitoring Case Study

Resilient Multi-Robot Task Optimization: Persistent Monitoring Case Study

This video demonstrates an application of the OrG-U-I algorithm for the

Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance

Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance

Demonstration paper (submitted to AAMAS-23)

An Optimal Task Allocation Strategy for Heterogeneous Multi-Robot Systems

An Optimal Task Allocation Strategy for Heterogeneous Multi-Robot Systems

http://gnotomista.com/research/constraints_driven_control/ http://www.sidmayya.com/research/ https://arxiv.org/abs/1903.08641 ...

Decentralized Multi-Robot Task Allocation with Time Window and Ordering Constraints

Decentralized Multi-Robot Task Allocation with Time Window and Ordering Constraints

The

Resilient task allocation for heterogeneous multi robot systems

Resilient task allocation for heterogeneous multi robot systems

http://gnotomista.com/ http://www.sidmayya.com/ https://yousefemam.com/ Video submitted with the paper "Notomista, Mayya, ...

Modelling Resource Contention in Multi-Robot Task Allocation Problems with Uncertain Timing

Modelling Resource Contention in Multi-Robot Task Allocation Problems with Uncertain Timing

The complete framework is shown to be faster than a Monte Carlo approach for the same accuracy in two

Improved Resilient Coverage Maximization with Multiple Robots

Improved Resilient Coverage Maximization with Multiple Robots

This presentation was prepared for the workshop on Heterogeneous

Resilient Task Allocation in Heterogeneous Multi-Robot Systems

Resilient Task Allocation in Heterogeneous Multi-Robot Systems

Paper Link: https://ieeexplore.ieee.org/abstract/document/9349130 We present a

Optimization of Energy Constrained Multi - Robot Warehouse System

Optimization of Energy Constrained Multi - Robot Warehouse System

Optimization

Optimization and Evaluation of a Multi Robot Surface Inspection Task Through PSO

Optimization and Evaluation of a Multi Robot Surface Inspection Task Through PSO

Related research article: D. Chiu, R. Nagpal, and B. Haghighat, "

Improving Multi-Robot Behavior Using Learning-Based Receding Horizon Task Allocation

Improving Multi-Robot Behavior Using Learning-Based Receding Horizon Task Allocation

Planning efficient and coordinated policies for a team of

RTAW: An Attention Inspired RL Method for Multi-Robot Task Allocation in Warehouse Environments

RTAW: An Attention Inspired RL Method for Multi-Robot Task Allocation in Warehouse Environments

ICRA 2023 paper video We present a novel reinforcement learning based algorithm for

IROS2025: Resilient Multi-Robot Target Tracking with Sensing and Communication Danger Zones

IROS2025: Resilient Multi-Robot Target Tracking with Sensing and Communication Danger Zones

Published in IROS 2025 Hangzhou. Best paper finalist. Available at: www.arxiv.org/pdf/2409.11230 Abstract: