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 …
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 …
A task allocation algorithm for a swarm of unmanned aerial vehicles based on bionic wolf pack method
Z Wang, J Zhang - Knowledge-Based Systems, 2022 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) swarms are attracting more and more research
attention due to their low cost and high efficiency. Task allocation is a highly important …
attention due to their low cost and high efficiency. Task allocation is a highly important …
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 …
A novel state transition algorithm with adaptive fuzzy penalty for multi-constraint UAV path planning
Unmanned aerial vehicles (UAVs) require pre-planned flight paths that are energy-efficient,
safe and smooth across their wide range of application scenarios. In this study, a novel UAV …
safe and smooth across their wide range of application scenarios. In this study, a novel UAV …
Learning scalable policies over graphs for multi-robot task allocation using capsule attention networks
S Paul, P Ghassemi… - … Conference on Robotics …, 2022 - ieeexplore.ieee.org
This paper presents a novel graph reinforcement learning (RL) architecture to solve multi-
robot task allocation (MRTA) problems that involve tasks with deadlines and workload, and …
robot task allocation (MRTA) problems that involve tasks with deadlines and workload, and …
Efficient planning of multi-robot collective transport using graph reinforcement learning with higher order topological abstraction
Efficient multi-robot task allocation (MRTA) is fundamental to various time-sensitive
applications such as disaster response, warehouse operations, and construction. This paper …
applications such as disaster response, warehouse operations, and construction. This paper …
[HTML][HTML] Multi-robot task allocation methods: A fuzzy optimization approach
Response-threshold methods stand out among the different developed swarm-like
methodologies that address the task allocation problem, which must be faced in multi-robot …
methodologies that address the task allocation problem, which must be faced in multi-robot …
Multi-arm global cooperative coal gangue sorting method based on improved Hungarian algorithm
H Ma, X Wei, P Wang, Y Zhang, X Cao, W Zhou - Sensors, 2022 - mdpi.com
The existing multi-manipulator sorting method for gangue that utilizes a multi-task allocation
strategy is not satisfactory. The single manipulator working space is fixed, lowering the …
strategy is not satisfactory. The single manipulator working space is fixed, lowering the …
Dynamic unbalanced task allocation of warehouse AGVs using integrated adaptive large neighborhood search and Kuhn–Munkres algorithm
J Xin, Q Yuan, A D'Ariano, G Guo, Y Liu… - Computers & Industrial …, 2024 - Elsevier
Dynamic task allocation poses a complex and challenging decision problem for automated
guided vehicles operating within warehouse environments. In this study, we investigate a …
guided vehicles operating within warehouse environments. In this study, we investigate a …