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Multi-agent deep reinforcement learning for multi-robot applications: A survey
Deep reinforcement learning has produced many success stories in recent years. Some
example fields in which these successes have taken place include mathematics, games …
example fields in which these successes have taken place include mathematics, games …
A review on multirobot systems in agriculture
Agricultural multirobot systems (MRSs) are expected to be essential in future agriculture.
Therefore, MRSs comprising an aerial robot, a ground robot, and a manipulator are being …
Therefore, MRSs comprising an aerial robot, a ground robot, and a manipulator are being …
Multi-robot systems and cooperative object transport: Communications, platforms, and challenges
Multi-robot systems gain considerable attention due to lower cost, better robustness, and
higher scalability as compared with single-robot systems. Cooperative object transport, as a …
higher scalability as compared with single-robot systems. Cooperative object transport, as a …
A modified cuckoo search algorithm implemented with SCA and PSO for multi-robot cooperation and path planning
The paper puts forward an intelligent approach that deals with the computation of an optimal
path with collision avoidance for the stick-carrying twin moving from a pre-assumed start …
path with collision avoidance for the stick-carrying twin moving from a pre-assumed start …
Review of methodologies and tasks in swarm robotics towards standardization
Swarm Robotics (SR) is an extension of the study of Multi-Robot Systems that exploits
concepts of communication, coordination and collaboration among a large number of robots …
concepts of communication, coordination and collaboration among a large number of robots …
[HTML][HTML] Smart component-oriented method of construction robot coordination for prefabricated housing
Although achievements have been made in research on robotic construction for specific
construction tasks, robots are still not capable of working together to accomplish multiple …
construction tasks, robots are still not capable of working together to accomplish multiple …
Multi-strategy and self-adaptive differential sine–cosine algorithm for multi-robot path planning
Researchers have conducted studies using various metaheuristic algorithms for multi-robot
path planning recently. One of these algorithms, sine–cosine algorithm (SCA) cannot …
path planning recently. One of these algorithms, sine–cosine algorithm (SCA) cannot …
Cooperative multi-robot object transportation system based on hierarchical quadratic programming
Formation control gains significant attention in the multi-robot system field as it contributes to
a vast range of applications, such as transportation. This letter presents a constrained …
a vast range of applications, such as transportation. This letter presents a constrained …
Decentralized control of multi-robot system in cooperative object transportation using deep reinforcement learning
Object transportation could be a challenging problem for a single robot due to the oversize
and/or overweight issues. A multi-robot system can take the advantage of increased driving …
and/or overweight issues. A multi-robot system can take the advantage of increased driving …
Multi-agent manipulation via locomotion using hierarchical sim2real
Manipulation and locomotion are closely related problems that are often studied in isolation.
In this work, we study the problem of coordinating multiple mobile agents to exhibit …
In this work, we study the problem of coordinating multiple mobile agents to exhibit …