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 …
A review of collaborative air-ground robots research
C Liu, J Zhao, N Sun - Journal of Intelligent & Robotic Systems, 2022 - Springer
The collaboration of heterogeneous robots is a hot topic in multi-intelligent agents,
characterized by wide-area coverage and high environmental adaptability. Compared with a …
characterized by wide-area coverage and high environmental adaptability. Compared with a …
[HTML][HTML] Multi-robot task allocation clustering based on game theory
A cooperative game theory framework is proposed to solve multi-robot task allocation
(MRTA) problems. In particular, a cooperative game is built to assess the performance of …
(MRTA) problems. In particular, a cooperative game is built to assess the performance of …
A two-stage reinforcement learning-based approach for multi-entity task allocation
Task allocation is a key combinatorial optimization problem, crucial for modern applications
such as multi-robot cooperation and resource scheduling. Decision makers must allocate …
such as multi-robot cooperation and resource scheduling. Decision makers must allocate …
Survey on mission planning of multiple unmanned aerial vehicles
J Song, K Zhao, Y Liu - Aerospace, 2023 - mdpi.com
The task assignment issue and the path planning problem of Multiple Unmanned Aerial
Vehicles (Multi-UAV) are collectively referred to as the Mission Planning Problem (MPP) …
Vehicles (Multi-UAV) are collectively referred to as the Mission Planning Problem (MPP) …
Task assignment of UAV swarms based on deep reinforcement learning
UAV swarm applications are critical for the future, and their mission-planning and decision-
making capabilities have a direct impact on their performance. However, creating a dynamic …
making capabilities have a direct impact on their performance. However, creating a dynamic …
A Mathematical Optimization Model for the Pharmaceutical Waste Location‐Routing Problem Using Genetic Algorithm and Particle Swarm Optimization
S Aghakhani, P Pourmand… - Mathematical Problems in …, 2023 - Wiley Online Library
Pharmaceutical waste management is a significant concern that poses risks to human and
environmental health. The ineffective management of expired and unused medications can …
environmental health. The ineffective management of expired and unused medications can …
Task allocation using a team of robots
Abstract Purpose of Review Task allocation using a team or coalition of robots is one of the
most important problems in robotics, computer science, operational research, and artificial …
most important problems in robotics, computer science, operational research, and artificial …
Energy harvesting and task-aware multi-robot task allocation in robotic wireless sensor networks
OM Gul - Sensors, 2023 - mdpi.com
In this work, we investigate an energy-aware multi-robot task-allocation (MRTA) problem in a
cluster of the robot network that consists of a base station and several clusters of energy …
cluster of the robot network that consists of a base station and several clusters of energy …
A new method for improving the fairness of multi-robot task allocation by balancing the distribution of tasks
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 …
optimize task distribution while taking into account various performance metrics such as …