activity
20172021
most citedOverview: Generalizations of Multi-Agent Path Finding to Real-World Scenarios

91 citations · 125 across the 4 of their papers we have counts for

collaborators

6 papers

cs.RO202115 cited

Lighthouse Positioning System: Dataset, Accuracy, and Precision for UAV Research

Arnaud Taffanel, Barbara Rousselot, Jonas Danielsson +5

The Lighthouse system was originally developed as tracking system for virtual reality applications. Due to its affordable price, it has also found attractive use-cases in robotics…

cs.RO2020

Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions

Guanya Shi, Wolfgang Hönig, Yisong Yue +1

In this paper, we present Neural-Swarm, a nonlinear decentralized stable controller for close-proximity flight of multirotor swarms. Close-proximity control is challenging due to t…

cs.RO20191 cited

Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors

Artem Molchanov, Tao Chen, Wolfgang Hönig +3

Quadrotor stabilizing controllers often require careful, model-specific tuning for safe operation. We use reinforcement learning to train policies in simulation that transfer remar…

cs.AI201818 cited

Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery

Hang Ma, Wolfgang Hönig, T. K. Satish Kumar +2

The Multi-Agent Pickup and Delivery (MAPD) problem models applications where a large number of agents attend to a stream of incoming pickup-and-delivery tasks. Token Passing (TP) i…

cs.AI2018

Overview: A Hierarchical Framework for Plan Generation and Execution in Multi-Robot Systems

Hang Ma, Wolfgang Hönig, Liron Cohen +5

The authors present an overview of a hierarchical framework for coordinating task- and motion-level operations in multirobot systems. Their framework is based on the idea of using…

cs.AI201791 cited

Overview: Generalizations of Multi-Agent Path Finding to Real-World Scenarios

Hang Ma, Sven Koenig, Nora Ayanian +7

Multi-agent path finding (MAPF) is well-studied in artificial intelligence, robotics, theoretical computer science and operations research. We discuss issues that arise when genera…