Anonymous hedonic game for task allocation in a large-scale multiple agent system
This paper proposes a novel game-theoretical autonomous decision-making framework to
address a task allocation problem for a swarm of multiple agents. We consider cooperation …
address a task allocation problem for a swarm of multiple agents. We consider cooperation …
Ant colony optimization based memetic algorithm to solve bi-objective multiple traveling salesmen problem for multi-robot systems
X Chen, P Zhang, G Du, F Li - IEEE Access, 2018 - ieeexplore.ieee.org
This paper considers the problem of having a team of mobile robots to visit a set of target
locations. This problem is known as multi-robot patrolling problems. In this paper, the …
locations. This problem is known as multi-robot patrolling problems. In this paper, the …
Strategies for coordinated multirobot exploration with recurrent connectivity constraints
During several applications, such as search and rescue, robots must discover new
information about the environment and, at the same time, share operational knowledge with …
information about the environment and, at the same time, share operational knowledge with …
Multi-AGV's temporal memory-based RRT exploration in unknown environment
With the increasing need for multi-robot for exploring the unknown region in a challenging
environment, efficient collaborative exploration strategies are needed for achieving such …
environment, efficient collaborative exploration strategies are needed for achieving such …
Cooperative task allocation for multi-robot systems based on multi-objective ant colony system
S Wang, Y Liu, Y Qiu, Q Zhang, F Huo, Y Huangfu… - IEEE …, 2022 - ieeexplore.ieee.org
This paper proposes a novel multi-objective ant colony system (MOACS) approach to solve
the cooperative task allocation problem of multi-robot systems. The task allocation problem …
the cooperative task allocation problem of multi-robot systems. The task allocation problem …
Multiple-solution optimization strategy for multirobot task allocation
Multiple solutions are often needed because of different kinds of uncertain failures in a plan
execution process and scenarios for which precise mathematical models and constraints are …
execution process and scenarios for which precise mathematical models and constraints are …
Decision-Theoretic Approaches for Robotic Environmental Monitoring--A Survey
Robotics has dramatically increased our ability to gather data about our environments. This
is an opportune time for the robotics and algorithms community to come together to …
is an opportune time for the robotics and algorithms community to come together to …
Cognitive intelligent task allocation for human-automation symbiosis in Industry 5.0 manufacturing systems via non-cooperative game theory: a bi-level optimization …
Task allocation aims to assign manufacturing tasks to human operators and automation
agents to optimize human-automation collaboration. Unlike conventional approaches that …
agents to optimize human-automation collaboration. Unlike conventional approaches that …
Multiagent dynamic task assignment based on forest fire point model
Multiagent dynamic task assignment of forest fires is a complicated optimization problem
because it requires the consideration of multiple factors, such as the spread speed of fires …
because it requires the consideration of multiple factors, such as the spread speed of fires …
An exact algorithm for task allocation of multiple unmanned surface vehicles with minimum task time
K Xue, Z Huang, P Wang, Z Xu - Journal of Marine Science and …, 2021 - mdpi.com
Task allocation of unmanned surface vehicles (USVs) with low task cost is an important
research area which assigns USVs from starting points to different target points to complete …
research area which assigns USVs from starting points to different target points to complete …