Dr. Peng Zhou is an Assistant Professor and the Principal Investigator of the Embodied MAnipulation InteLligence (EMAIL) Robotics Lab. His research interests span robotics, machine learning, and computer vision, focusing on deformable object manipulation, robot perception and learning, and task and motion planning.
Peng received his Ph.D. (2019–2022) in Robotics from The Hong Kong Polytechnic University, advised by Dr. David Navarro-Alarcon. He then worked as a Postdoctoral Research Fellow at The University of Hong Kong with Dr. Pan Jia. In 2016 and 2021, he visited the Robotics Lab at Stanford under the supervision of Prof. Oussama Khatib and the Robotics, Perception and Learning (RPL) Lab at KTH under the supervision of Prof. Danica Kragic.
Peng is the recipient of the T.J. Tarn Best Paper Finalist Award in Robotics (IEEE ROBIO 2025), ICRA Workshop Best Paper Award (2021), IROS Workshop Best Paper Award (2020), IEEE RAM Best Reviewer Award (2024), Champion of the International Dexterous Manipulation Challenge (2024 & 2025), and the IEEE MGA Young Professional Achievement Award (2022). He serves on IEEE RAS Technical Committees (Grasping & Manipulation, HRI, Robot Learning, Cognitive Robotics) and as Associate Editor for IEEE RA-L and IROS 2026.
Special issue cover: Intelligent Vision-Driven Robotics.
2026.2 Editorial
Dr. Zhou is serving as an AE for IROS 2026.
2025.10 🥇 Best Paper Finalist
T.J. Tarn Best Paper Finalist Award in Robotics @ IEEE ROBIO2025
2025.10 🥇 Award
2025 International Dexterous Manipulation Challenge Champion.
2025.8 Editorial
Dr. Zhou is serving as an AE for IEEE RA-L.
2025.6 📄 Journal
A Hierarchical Laser Control Strategy for Spatially Uniform Thermal Dose Delivery in Laser-Induced Thermal Therapy Accepted by IEEE/ASME T-Mech.
2024.10 🥇 Award
2024 International Dexterous Manipulation Challenge Champion.
We welcome talents in robotics, learning, and control.
Ph.D. students, postdocs, visiting students, and research interns (subject to program availability).
CV + short research statement + (optional) representative paper/code/demo link.
Email: pzhou AT gbu DOT edu DOT cn
See Services for full awards & academic service details.
