Lifeng Zhou

Orcid: 0000-0001-7927-8504

Affiliations:
  • Drexel University, Department of Electrical and Computer Engineering, Philadelphia, PA, USA
  • University of Pennsylvania, GRASP lab, PA, USA
  • Virginia Tech, Department of electrical and computer engineering, Blacksburg, VA, USA (PhD 2020)


According to our database1, Lifeng Zhou authored at least 54 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Vision Language Models Cannot Plan, but Can They Formalize?
CoRR, September, 2025

CLAW: A Vision-Language-Action Framework for Weight-Aware Robotic Grasping.
CoRR, September, 2025

SeqVLA: Sequential Task Execution for Long-Horizon Manipulation with Completion-Aware Vision-Language-Action Model.
CoRR, September, 2025

Failure-Aware Multi-Robot Coordination for Resilient and Adaptive Target Tracking.
CoRR, August, 2025

LLM-Flock: Decentralized Multi-Robot Flocking via Large Language Models and Influence-Based Consensus.
CoRR, May, 2025

Reinforcement Learning for Game-Theoretic Resource Allocation on Graphs.
CoRR, May, 2025

Large Language Models for Multi-Robot Systems: A Survey.
CoRR, February, 2025

Double Oracle Algorithm for Game-Theoretic Robot Allocation on Graphs.
IEEE Trans. Robotics, 2025

Query3D: LLM-Powered Open-Vocabulary Scene Segmentation with Language Embedded 3D Gaussians.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024
Hierarchical LLMs In-the-loop Optimization for Real-time Multi-Robot Target Tracking under Unknown Hazards.
CoRR, 2024

Resilient and Adaptive Replanning for Multi-Robot Target Tracking with Sensing and Communication Danger Zones.
CoRR, 2024

Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation.
CoRR, 2024

Multi-Robot Target Tracking with Sensing and Communication Danger Zones.
CoRR, 2024

Challenges Faced by Large Language Models in Solving Multi-Agent Flocking.
CoRR, 2024

Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense.
CoRR, 2023

Assignment Algorithms for Multi-Robot Multi-Target Tracking with Sufficient and Limited Sensing Capability.
IROS, 2023

D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Active Metric-Semantic Mapping by Multiple Aerial Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Multi-Robot Localization and Target Tracking with Connectivity Maintenance and Collision Avoidance.
Proceedings of the American Control Conference, 2023

2022
Distributed Attack-Robust Submodular Maximization for Multirobot Planning.
IEEE Trans. Robotics, 2022

Risk-Aware Submodular Optimization for Multirobot Coordination.
IEEE Trans. Robotics, 2022

Adaptive and Risk-Aware Target Tracking for Robot Teams With Heterogeneous Sensors.
IEEE Robotics Autom. Lett., 2022

Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks.
CoRR, 2022

Resilient Consensus via Voronoi Communication Graphs.
CoRR, 2022

Graph Neural Networks for Decentralized Multi-Robot Target Tracking.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2022

Decentralized Risk-Aware Tracking of Multiple Targets.
Proceedings of the Distributed Autonomous Robotic Systems - 16th International Symposium, 2022

Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks.
Proceedings of the American Control Conference, 2022

2021
Distributed Resilient Submodular Action Selection in Adversarial Environments.
IEEE Robotics Autom. Lett., 2021

Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection.
CoRR, 2021

Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams.
CoRR, 2021

Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments.
CoRR, 2021

Game tree search for minimizing detectability and maximizing visibility.
Auton. Robots, 2021

Risk-Aware Submodular Optimization for Stochastic Travelling Salesperson Problem.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Communication-Aware Multi-robot Coordination with Submodular Maximization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem.
CoRR, 2020

Risk-Aware Submodular Optimization for Multi-Robot Coordination.
CoRR, 2020

Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks.
Proceedings of the Robotics: Science and Systems XVI, 2020

Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Resilient Coverage: Exploring the Local-to-Global Trade-off.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Sensor Assignment Algorithms to Improve Observability While Tracking Targets.
IEEE Trans. Robotics, 2019

Active Target Tracking With Self-Triggered Communications in Multi-Robot Teams.
IEEE Trans Autom. Sci. Eng., 2019

Resilient Active Target Tracking With Multiple Robots.
IEEE Robotics Autom. Lett., 2019

Resilient Coverage: Exploring the Local-to-Global Trade-off.
CoRR, 2019

An Approximation Algorithm for Distributed Resilient Submodular Maximization: Extended Abstract.
Proceedings of the 2019 International Symposium on Multi-Robot and Multi-Agent Systems, 2019

Tree Search Techniques for Minimizing Detectability and Maximizing Visibility.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Strategies to Inject Spoofed Measurement Data.
CoRR, 2018

A Minimax Tree Based Approach for Minimizing Detectability and Maximizing Visibility.
CoRR, 2018

An Approximation Algorithm for Risk-Averse Submodular Optimization.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Strategies to Design Signals to Spoof Kalman Filter.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
A Lower Bound on Observability for Target Tracking with Range Sensors and its Application to Sensor Assignment.
CoRR, 2017

Active target tracking with self-triggered communications.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017


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