activity
20172026
most citedMulti-Robot Coordination and Planning in Uncertain and Adversarial Environments

59 citations · 183 across the 41 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.RO2023

Double Oracle Algorithm for Game-Theoretic Robot Allocation on Graphs

Zijian An, Lifeng Zhou

We study the problem of game-theoretic robot allocation where two players strategically allocate robots to compete for multiple sites of interest. Robots possess offensive or defen…

cs.RO2023

Monte-Carlo Tree Search for Behavior Planning in Autonomous Driving

Qianfeng Wen, Zhongyi Gong, Lifeng Zhou +1

The integration of autonomous vehicles into urban and highway environments necessitates the development of robust and adaptable behavior planning systems. This study presents an in…

cs.RO2023

Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network

Siji Chen, Yanshen Sun, Peihan Li +2

Recently a line of researches has delved the use of graph neural networks (GNNs) for decentralized control in swarm robotics. However, it has been observed that relying solely on t…

cs.RO2023

Energy-Aware Routing Algorithm for Mobile Ground-to-Air Charging

Bill Cai, Fei Lu, Lifeng Zhou

We investigate the problem of energy-constrained planning for a cooperative system of an Unmanned Ground Vehicles (UGV) and an Unmanned Aerial Vehicle (UAV). In scenarios where the…

cs.RO2023★ 4 cited

Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs

Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu +8

We present an Open-Vocabulary 3D Scene Graph (OVSG), a formal framework for grounding a variety of entities, such as object instances, agents, and regions, with free-form text-base…

cs.RO2023★ 6 cited

Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability

Peihan Li, Lifeng Zhou

We study the problem of assigning robots with actions to track targets. The objective is to optimize the robot team's tracking quality which can be defined as the reduction in the…

cs.MA2023★ 28 cited

Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense

Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro +1

In this work, we study the problem of decentralized multi-agent perimeter defense that asks for computing actions for defenders with local perceptions and communications to maximiz…