Cooperative heterogeneous multi-robot systems: A survey
The emergence of the Internet of things and the widespread deployment of diverse
computing systems have led to the formation of heterogeneous multi-agent systems (MAS) …
computing systems have led to the formation of heterogeneous multi-agent systems (MAS) …
Optimization techniques for Multi-Robot Task Allocation problems: Review on the state-of-the-art
H Chakraa, F Guérin, E Leclercq, D Lefebvre - Robotics and Autonomous …, 2023 - Elsevier
In the last years, Multi-Robot Systems (MRS) have experienced considerable recognition
due to various possible real-world applications. Multi-Robot Task Allocation (MRTA) is …
due to various possible real-world applications. Multi-Robot Task Allocation (MRTA) is …
Smart-llm: Smart multi-agent robot task planning using large language models
In this work, we introduce SMART-LLM, an innovative framework designed for embodied
multi-robot task planning. SMART-LLM: Smart Multi-Agent Robot Task Planning using Large …
multi-robot task planning. SMART-LLM: Smart Multi-Agent Robot Task Planning using Large …
Optimizing human–robot task allocation using a simulation tool based on standardized work descriptions
Human–robot collaboration is enabled by the digitization of production and has become a
key technology for the factory of the future. It combines the strengths of both the human …
key technology for the factory of the future. It combines the strengths of both the human …
Distributed task rescheduling with time constraints for the optimization of total task allocations in a multirobot system
This paper considers the problem of maximizing the number of task allocations in a
distributed multirobot system under strict time constraints, where other optimization …
distributed multirobot system under strict time constraints, where other optimization …
Strength learning particle swarm optimization for multiobjective multirobot task scheduling
Cooperative heterogeneous multirobot systems have attracted increasing attention in recent
years. They use multiple heterogeneous robots to execute complex tasks in a coordinated …
years. They use multiple heterogeneous robots to execute complex tasks in a coordinated …
Market approaches to the multi-robot task allocation problem: a survey
Market-based methods have received significant attention for solving the multi-robot task
allocation problem. They have been used in a variety of multi-robot scenarios, such as …
allocation problem. They have been used in a variety of multi-robot scenarios, such as …
[HTML][HTML] A systematic review of robotics research in support of in-home care for older adults
The aging population is growing at an unprecedented rate globally and robotics-enabled
solutions are being developed to provide better independent living for older adults. In this …
solutions are being developed to provide better independent living for older adults. In this …
Distributed task assignment for multiple robots under limited communication range
This article investigates the task assignment problem in which multiple dispersed robots
need to visit a set of target locations while trying to minimize the robots' total travel distance …
need to visit a set of target locations while trying to minimize the robots' total travel distance …
Distributed onboard mission planning for multi-satellite systems
The increasing number of satellites for specific space missions is hindering efficient control
from the ground stations. In addition, the risk of failing or deteriorating elements in a multi …
from the ground stations. In addition, the risk of failing or deteriorating elements in a multi …