3 citations · 4 across the 21 of their papers we have counts for
10 papers · 1 filter
Heterogeneous Team Coordination on Partially Observable Graphs with Realistic Communication
Yanlin Zhou, Manshi Limbu, Xuan Wang +2
Team Coordination on Graphs with Risky Edges (\textsc{tcgre}) is a recently proposed problem, in which robots find paths to their goals while considering possible coordination to r…
Learning Coordinated Maneuver in Adversarial Environments
Zechen Hu, Manshi Limbu, Daigo Shishika +2
This paper aims to solve the coordination of a team of robots traversing a route in the presence of adversaries with random positions. Our goal is to minimize the overall cost of t…
Bi-CL: A Reinforcement Learning Framework for Robots Coordination Through Bi-level Optimization
Zechen Hu, Daigo Shishika, Xuesu Xiao +1
In multi-robot systems, achieving coordinated missions remains a significant challenge due to the coupled nature of coordination behaviors and the lack of global information for in…
Scaling Team Coordination on Graphs with Reinforcement Learning
Manshi Limbu, Zechen Hu, Xuan Wang +2
This paper studies Reinforcement Learning (RL) techniques to enable team coordination behaviors in graph environments with support actions among teammates to reduce the costs of tr…
Manta Ray Inspired Flapping-Wing Blimp
Kentaro Nojima-Schmunk, David Turzak, Kevin Kim +5
Lighter-than-air vehicles or blimps, are an evolving platform in robotics with several beneficial properties such as energy efficiency, collision resistance, and ability to work in…
Lighter-Than-Air Autonomous Ball Capture and Scoring Robot -- Design, Development, and Deployment
Joseph Prince Mathew, Dinesh Karri, James Yang +6
This paper describes the full end-to-end design of our primary scoring agent in an aerial autonomous robotics competition from April 2023. As open-ended robotics competitions becom…