Teng Guo

Affiliations:
  • Rutgers University, State University of New Jersey, Piscataway, NJ, USA


According to our database1, Teng Guo authored at least 18 papers between 2021 and 2025.

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Bibliography

2025
RGBTrack: Fast, Robust Depth-Free 6D Pose Estimation and Tracking.
CoRR, June, 2025

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping.
CoRR, June, 2025

Targeted Parallelization of Conflict-Based Search for Multi-Robot Path Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024
Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time.
J. Artif. Intell. Res., 2024

Expected 1.x-Makespan-Optimal MAPF on Grids in Low-Poly Time.
CoRR, 2024

Well-Connected Set and Its Application to Multi-Robot Path Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Decentralized Lifelong Path Planning for Multiple Ackerman Car-Like Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Bin Assignment and Decentralized Path Planning for Multi-Robot Parcel Sorting.
CoRR, 2023

Efficient Heuristics for Multi-Robot Path Planning in Crowded Environments.
IROS, 2023

Toward Efficient Physical and Algorithmic Design of Automated Garages.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Optimal Allocation of Many Robot Guards for Sweep-Line Coverage.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Self-Supervised Monte Carlo Tree Search Learning for Object Retrieval in Clutter.
CoRR, 2022

Sub-1.5 Time-Optimal Multi-Robot Path Planning on Grids in Polynomial Time.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Polynomial Time Near-Time-Optimal Multi-Robot Path Planning in Three Dimensions with Applications to Large-Scale UAV Coordination.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Rubik Tables, Stack Rearrangement, and Multi-Robot Path Planning.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021
Team RuBot's experiences and lessons from the ARIAC.
Robotics Comput. Integr. Manuf., 2021

Spatial and Temporal Splitting Heuristics for Multi-Robot Motion Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021


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