Zhangli Zhou

Orcid: 0000-0002-4995-4732

According to our database1, Zhangli Zhou authored at least 14 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
Local Observation Based Reactive Temporal Logic Planning of Human-Robot Systems.
IEEE Trans Autom. Sci. Eng., 2025

2024
Fast Temporal Logic Mission Planning of Multiple Robots: A Planning Decision Tree Approach.
IEEE Robotics Autom. Lett., July, 2024

Vision-Based Reactive Temporal Logic Motion Planning for Quadruped Robots in Unstructured Dynamic Environments.
IEEE Trans. Ind. Electron., June, 2024

A Novel Framework for Improved Grasping of Thin and Stacked Objects.
IEEE Trans. Artif. Intell., June, 2024

Multi-modal interaction with transformers: bridging robots and human with natural language.
Robotica, February, 2024

LEEPS: Learning End-to-End Legged Perceptive Parkour Skills on Challenging Terrains.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Soft Task Planning with Hierarchical Temporal Logic Specifications.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Active Inference for Reactive Temporal Logic Motion Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
A Hierarchical Decoupling Approach for Fast Temporal Logic Motion Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

What You See is what You Grasp: User-Friendly Grasping Guided by Near-eye-tracking.
Proceedings of the IEEE International Conference on Development and Learning, 2023

Vision-Based Reactive Planning and Control of Quadruped Robots in Unstructured Dynamic Environments.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022
When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection.
IEEE Robotics Autom. Lett., 2022

A Robotic Visual Grasping Design: Rethinking Convolution Neural Network with High-Resolutions.
CoRR, 2022

Unsupervised Representation Learning for Visual Robotics Grasping.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022


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