Robotics Lab

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Embodied MAnipulation InteLligence （EMAIL） Robotics Lab

Introduction

The EMAIL-lab at the Great Bay University（GBU）focuses on research in robotic manipulation, with a particular emphasis on tasks involving deformable object manipulation, multi-modal dexterous manipulation (e.g., vision and touch), as well as task and motion planning. By integrating data-driven learning, geometric modeling, and robot control techniques, the lab is dedicated to achieving precise perception, modeling, planning, and control during manipulation processes, with the goal of enabling robots to perform at or even surpass human-level manipulation capabilities.

Call for Papers

📢 [Workshop] Workshop on Contact and Impact-aware Manipulation @
📢 [Special Issue] Enhancing robotic dexterity through advanced learning and multimodal perception @
📢 [Special Issue] Advancements in Robotics: Perception, Manipulation, and Interaction @
📢 [Special Issue] Research on Deep Learning and Human-Robot Collaboration @

Team Members
Dr. Peng Zhou Lab PI Assistant Professor @ The Great Bay University	Prof. David Navarro-Alarcon 毛大衛 Co-PI on all programs @ The Polytechnic University of Hong Kong	Prof. Jia Pan Co-PI on Ph.D. program @ The University of Hong Kong	Prof. Xin Jiang Co-PI on Ph.D. program @ Harbin Institute of Technology, Shenzhen
Prof. Kan Zhen Co-PI on Postdoc program @ University of Science and Technology of China	Dr. Jun Hu Postdoc Researcher (2025) Tsinghua Shenzhen International Graduate School	Zhongxun Li Visiting Ph.D. Student The University of Hong Kong	Ziyuan Wang Ph.D. Student (2025) Harbin Institute of Technology, Shenzhen
Xi Chen Master Student(2025) Shenzhen University	Zeliang Guo Visting Master Student The University of Manchester

News

[2025] Workshop on Contact and Impact-aware Manipulation (IROS 2025) is accepted by IROS 2025.
[2025] Dr. Zhou is serving as an Associate Editor for IEEE Robotics and Automation Letters.
[2025] A Joint Learning of Force Feedback of Robotic Manipulation and Textual Cues for Granular Materials Classification, IEEE Robotics and Automation Letters.
[2025] Iterative Shaping of Multi-Particle Aggregates based on Action Trees and VLM, IEEE Robotics and Automation Letters.
[2025] Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse Rewards, IEEE Transactions on Automation Science and Engineering.
[2024] Deformable Bag Manipulation using Neural Particle-based Dynamics Model, IEEE/ASME Transactions on Mechatronics.
[2024] Interactive Perception for Deformable Bag Manipulation, IEEE Robotics and Automation Letters.
[2023] Imitating Learning for Tool-based Garment Folding, IEEE Transactions on Industrial Informatics.
Track 3 Champion, Zhuhai International Dexterous Manipulation Challenge, 2024.
IEEE R10 Outstanding Volunteer Award, 2023.
Outstanding Young Researcher, National Engineering Research Center, 2022.

In collaboration with

Robots

Join Us

We are always looking for talented and motivated individuals to join our lab. If you are interested in robotics, machine learning, or computer vision, please contact us at pzhou AT gbu DOT edu DOT cn.