We address multi-robot geometric task-and-motion planning (MR-GTAMP) problems in synchronous, monotone setups. The goal of the MR-GTAMP problem is to move objects with multiple robots to goal regions in the pre
thedynamicassignmentandre-assignmentofexploration taskstorobotteams.Theamountofinterestinmulti-robot systemsisconsiderable[I]121sinceteamsofrobotsare bothmorefaulttolerant(duetoredundancy)andfaster (duetoparallelism)thansinglerobots.Multi-robottask allocationproblemsrequireateamofrobotstoperforma numberoftasks.Tasksmayb...
Group-Based Distributed Auction Algorithms for Multi-Robot Task Assignment 2023, IEEE Transactions on Automation Science and Engineering Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange 2020, IEEE Transactions on Automatic Control Communication-Failure-Resilient Distributed ...
Single/Multi-robot task (SR/MR) problems, considering the absence or existence of tasks that require more than one robot to be accomplished. • Instantaneous/Time-extended assignment (IA/TA) problems, depending on whether the information available allows planning future allocations. • No/In-sc...
Yi, X., et al.: A bio-inspired approach to task assignment of swarm robots in 3-D dynamic environments. IEEE Trans. Cybern. 47(4), 974–983 (2017) Article Google Scholar Zlot, R., Stentz, A.: Market-based multi-robot coordination for complex tasks. Int. J. Robot. Res. 25(1)...
另一个文章是Miyata, Ota, Arai, and Asama提出的“Cooperative Transport by Multiple Mobile Robots in Unknown Static Environments Associated with Real-time Task Assignment”一文,本文解决了多移动机器人的任务分配体系结构。该体系结构处理多个必须实时完成的任务,在应用程序中包含大量相对于可用机器人数量的任务。
Auction algorithm Minimum spanning tree Travelling salesman problem Task assignment Approximation algorithm 1. Introduction The question of how best to allocate tasks at specified locations between a team of mobile robots is a key problem in the study of multi-robot systems. Questions of this type ar...
Developing a methodical taxonomy of task assignment within the context of multi-robot systems is exactly what is aiming to do in order to accomplish this specific goal [6]. By putting in place a system of auctions that is based on physical fitness and combines both negotiation and task ...
Paper tables with annotated results for Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning
policy learning to further improve the scaling up and generalization ability while avoiding catastrophic forgetting. Additionally, we notice that policies with hierarchical structure suffer from unfair credit assignment that is similar to that in multi-agent reinforcement learning, inspired of which, we ...