41 citations · 225 across the 43 of their papers we have counts for
6 papers · 1 filter
Graph Neural Networks for Decentralized Multi-Robot Path Planning
Qingbiao Li, Fernando Gama, Alejandro Ribeiro +1
Effective communication is key to successful, decentralized, multi-robot path planning. Yet, it is far from obvious what information is crucial to the task at hand, and how and whe…
Culture-Based Explainable Human-Agent Deconfliction
Alex Raymond, Hatice Gunes, Amanda Prorok
Law codes and regulations help organise societies for centuries, and as AI systems gain more autonomy, we question how human-agent systems can operate as peers under the same norms…
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving
Rupert Mitchell, Jenny Fletcher, Jacopo Panerati +1
Autonomous driving promises to transform road transport. Multi-vehicle and multi-lane scenarios, however, present unique challenges due to constrained navigation and unpredictable…
An Adversarial Approach to Private Flocking in Mobile Robot Teams
Hehui Zheng, Jacopo Panerati, Giovanni Beltrame +1
Privacy is an important facet of defence against adversaries. In this letter, we introduce the problem of private flocking. We consider a team of mobile robots flocking in the pres…
Multi-Robot Path Deconfliction through Prioritization by Path Prospects
Wenying Wu, Subhrajit Bhattacharya, Amanda Prorok
This work deals with the problem of planning conflict-free paths for mobile robots in cluttered environments. Since centralized, coupled planning algorithms are computationally int…
A Fleet of Miniature Cars for Experiments in Cooperative Driving
Nicholas Hyldmar, Yijun He, Amanda Prorok
We introduce a unique experimental testbed that consists of a fleet of 16 miniature Ackermann-steering vehicles. We are motivated by a lack of available low-cost platforms to suppo…