Hierarchical and stable multiagent reinforcement learning for cooperative navigation control

Y Jin, S Wei, J Yuan, X Zhang - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
We solve an important and challenging cooperative navigation control problem, Multiagent
Navigation to Unassigned Multiple targets (MNUM) in unknown environments with minimal …

Roadmaps for robot motion planning with groups of robots

R Shome - Current Robotics Reports, 2021 - Springer
Abstract Purpose of Review Autonomous robotic systems require the core capability of
planning motions and actions. Centralized motion planning exhibits significant challenges …

Centralized collision-free polynomial trajectories and goal assignment for aerial swarms

B Gravell, T Summers - Control Engineering Practice, 2021 - Elsevier
Computationally tractable methods are developed for centralized goal assignment and
planning of collision-free polynomial-in-time trajectories for systems of multiple aerial robots …

Conflict-free multi-agent meeting

D Atzmon, SI Freiman, O Epshtein… - Proceedings of the …, 2021 - ojs.aaai.org
Abstract Multi-Agent Meeting (MAM) is the problem of finding a meeting location for multiple
agents and paths to that location. Practically, a solution to MAM may contain conflicting …

[PDF][PDF] Different Forms of Optimality in Multi-Agent Problems

D ATZMON, R STERN, A FELNER - 2021 - researchgate.net
Path Finding (PF) is the problem of finding a path for an agent on a given graph. Multi-Agent
Path Finding (MAPF) extends PF to the case of multiple agents. In MAPF, a path for each …

[图书][B] Algorithms for Multi-Agent Robotic Assembly Planning

KJ Brown - 2021 - search.proquest.com
This thesis presents algorithms for multi-agent robotic assembly planning in automated
manufacturing contexts. Our work touches on many pieces of the" factory autonomy stack." …