Robotic mobile fulfillment systems: A survey on recent developments and research opportunities

ÍR da Costa Barros, TP Nascimento - Robotics and Autonomous Systems, 2021 - Elsevier
With the advancement of the autonomous mobile robots applied to Warehouses and the
creation of the Robotic Mobile Fulfillment System after the market implementation of the Kiva …

[PDF][PDF] Research challenges and opportunities in multi-agent path finding and multi-agent pickup and delivery problems

O Salzman, R Stern - Proceedings of the 19th International Conference …, 2020 - ifaamas.org
Recent years have shown a large increase in applications and research of problems that
include moving a fleet of physical robots. One particular application that is currently a multi …

Lifelong multi-agent path finding in large-scale warehouses

J Li, A Tinka, S Kiesel, JW Durham… - Proceedings of the …, 2021 - ojs.aaai.org
Abstract Multi-Agent Path Finding (MAPF) is the problem of moving a team of agents to their
goal locations without collisions. In this paper, we study the lifelong variant of MAPF, where …

Integrated task assignment and path planning for capacitated multi-agent pickup and delivery

Z Chen, J Alonso-Mora, X Bai… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Multi-agent Pickup and Delivery (MAPD) is a challenging industrial problem where a team of
robots is tasked with transporting a set of tasks, each from an initial location and each to a …

PRIMAL: Pathfinding Via Reinforcement and Imitation Multi-Agent Learning - Lifelong

M Damani, Z Luo, E Wenzel… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Multi-agent path finding (MAPF) is an indispensable component of large-scale robot
deployments in numerous domains ranging from airport management to warehouse …

Multi-agent pathfinding with continuous time

A Andreychuk, K Yakovlev, P Surynek, D Atzmon… - Artificial Intelligence, 2022 - Elsevier
Abstract Multi-Agent Pathfinding (MAPF) is the problem of finding paths for multiple agents
such that each agent reaches its goal and the agents do not collide. In recent years, variants …

Efficient large-scale multi-drone delivery using transit networks

S Choudhury, K Solovey, MJ Kochenderfer… - Journal of Artificial …, 2021 - jair.org
We consider the problem of routing a large fleet of drones to deliver packages
simultaneously across broad urban areas. Besides flying directly, drones can use public …

Group-based distributed auction algorithms for multi-robot task assignment

X Bai, A Fielbaum, M Kronmüller… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This paper studies the multi-robot task assignment problem in which a fleet of dispersed
robots needs to efficiently transport a set of dynamically appearing packages from their initial …

Multi-agent path finding–an overview

R Stern - Artificial Intelligence: 5th RAAI Summer School …, 2019 - Springer
Abstract Multi-Agent Pathfinding (MAPF) is the problem of finding paths for multiple agents
such that every agent reaches its goal and the agents do not collide. In recent years, there …

[PDF][PDF] Improved Heuristics for Multi-Agent Path Finding with Conflict-Based Search.

J Li, A Felner, E Boyarski, H Ma, S Koenig - IJCAI, 2019 - ijcai.org
Abstract Conflict-Based Search (CBS) and its enhancements are among the strongest
algorithms for Multi-Agent Path Finding. Recent work introduced an admissible heuristic to …