A New Method for Improving the Fairness of Multi-Robot Task Allocation by Balancing the Distribution of Tasks

Y Msala, O Hamed, M Talea… - Journal of Robotics and …, 2023 - journal.umy.ac.id
This paper presents an innovative task allocation method for multi-robot systems that aims to
optimize task distribution while taking into account various performance metrics such as …

Heterogeneous Coalition Formation and Scheduling with Multi-Skilled Robots

A Aswale, C Pinciroli - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
We present an approach to task scheduling in heterogeneous multi-robot systems. In our
setting, the tasks to complete require diverse skills. We assume that each robot is multi …

Multi-Robot Heterogeneous Adversarial Coverage

Y Korngut, N Agmon - … Symposium on Multi-Robot and Multi …, 2023 - ieeexplore.ieee.org
Robotic coverage is one of the canonical problems in robotics research, seeking to find a
path that visits each point in an area while optimizing some criteria, usually minimizing the …

An Efficient Implementation of Canonical Genetic Algorithm for Combinatorial Optimization Scheme Issues

NV Balaji, YD Deshpande, D Mehta… - … on Smart Generation …, 2023 - ieeexplore.ieee.org
Canonical Genetic algorithm (CGA) is a blended seek and exploitation technique to
combinatorial optimization troubles, which combines the conventional search of evolutionary …

Automating Automation with Modular Robot Synthesis

JS Whitman - 2022 - search.proquest.com
Robots have been used to automate many tasks, and yet designing robots remains largely a
manual process. This thesis seeks to" automate automation" by developing methods to …

[PDF][PDF] Composition Learning in “Modular” Robot Systems

J Hu - 2022 - ri.cmu.edu
Modular robot and multi-robot systems share a concept in common: composition, ie the
study of how parts can be combined so they can be used to achieve certain objectives. Our …