41 citations · 73 across the 12 of their papers we have counts for
17 papers · 1 filter
Environment Optimization for Multi-Agent Navigation
Zhan Gao, Amanda Prorok
Traditional approaches to the design of multi-agent navigation algorithms consider the environment as a fixed constraint, despite the obvious influence of spatial constraints on ag…
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Amanda Prorok, Matthew Malencia, Luca Carlone +3
Robustness is key to engineering, automation, and science as a whole. However, the property of robustness is often underpinned by costly requirements such as over-provisioning, kno…
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts
Amanda Prorok, Jan Blumenkamp, Qingbiao Li +3
Many multi-robot planning problems are burdened by the curse of dimensionality, which compounds the difficulty of applying solutions to large-scale problem instances. The use of le…
Pursuer Assignment and Control Strategies in Multi-agent Pursuit-Evasion Under Uncertainties
Leiming Zhang, Amanda Prorok, Subhrajit Bhattacharya
We consider a pursuit-evasion problem with a heterogeneous team of multiple pursuers and multiple evaders. Although both the pursuers (robots) and the evaders are aware of each oth…
Fair Robust Assignment using Redundancy
Matthew Malencia, Vijay Kumar, George Pappas +1
We study the consideration of fairness in redundant assignment for multi-agent task allocation. It has recently been shown that redundant assignment of agents to tasks provides rob…
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
Jacopo Panerati, Hehui Zheng, SiQi Zhou +3
Robotic simulators are crucial for academic research and education as well as the development of safety-critical applications. Reinforcement learning environments -- simple simulat…