2 citations · 4 across the 8 of their papers we have counts for
9 papers
Failure-Aware Multi-Robot Coordination for Resilient and Adaptive Target Tracking
Peihan Li, Jiazhen Liu, Yuwei Wu +1
Multi-robot coordination is crucial for autonomous systems, yet real-world deployments often encounter various failures. These include both temporary and permanent disruptions in s…
Hierarchical LLMs In-the-Loop Optimization for Real-Time Multi-Robot Target Tracking under Unknown Hazards
Yuwei Wu, Yuezhan Tao, Peihan Li +4
Real-time multi-robot coordination in hazardous and adversarial environments requires fast, reliable adaptation to dynamic threats. While Large Language Models (LLMs) offer strong…
Resilient Multi-Robot Target Tracking with Sensing and Communication Danger Zones
Peihan Li, Yuwei Wu, Jiazhen Liu +3
Multi-robot collaboration for target tracking in adversarial environments poses significant challenges, including system failures, dynamic priority shifts, and other unpredictable…
Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks
Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro +1
We consider the problem of finding decentralized strategies for multi-agent perimeter defense games. In this work, we design a graph neural network-based learning framework to lear…
Multi-Robot Localization and Target Tracking with Connectivity Maintenance and Collision Avoidance
Rahul Zahroof, Jiazhen Liu, Lifeng Zhou +1
We study the problem that requires a team of robots to perform joint localization and target tracking task while ensuring team connectivity and collision avoidance. The problem can…
Resilient Consensus via Voronoi Communication Graphs
Kelsey Saulnier, Lifeng Zhou, George Pappas +1
Consensus algorithms form the foundation for many distributed algorithms by enabling multiple robots to converge to consistent estimates of global variables using only local commun…
Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks
Lifeng Zhou, Vijay Kumar
The problem of multi-robot target tracking asks for actively planning the joint motion of robots to track targets. In this paper, we focus on such target tracking problems in adver…
Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams
Siddharth Mayya, Ragesh K. Ramachandran, Lifeng Zhou +2
We consider a scenario where a team of robots with heterogeneous sensors must track a set of hostile targets which induce sensory failures on the robots. In particular, the likelih…
Resilient Coverage: Exploring the Local-to-Global Trade-off
Ragesh K. Ramachandran, Lifeng Zhou James A. Preiss, Gaurav S. Sukhatme
We propose a centralized control framework to select suitable robots from a heterogeneous pool and place them at appropriate locations to monitor a region for events of interest. I…