Research interests
- Tactile perception & control
- Robot manipulation
- Motion planning
- Reinforcement learning for robotics
Robotics · Perception · Learning
Biography
I’m Sirui (谢斯睿), an MRes student in Bioengineering at Imperial College London, working with Dr. Dandan Zhang in the MSEI Lab. My current research explores active tactile perception of robot–object systems, with broader interests in tactile perception and control, motion planning, and reinforcement learning for robotics.
I received my BArch in Urban Design from Beijing University of Civil Engineering and Architecture in 2026. Previously, I was a research intern at Peking University’s CoRe Lab, advised by Dr. Yixin Zhu, and at AIR, Tsinghua University & Lightwheel AI, advised by Dr. Hao Zhao. My work has spanned robot manipulation, motion planning, and neural scene representations.
Education
Oct 2026 — Present
Imperial College London
MRes in Bioengineering
Sep 2021 — Jun 2026
Beijing University of Civil Engineering and Architecture
BArch in Urban Design
GPA: 88.69 / 100
Previously studied Vehicle Engineering, 2021–2022.
Publications
* Equal contribution
ICRA 2026
Vi-TacMan: Articulated Object Manipulation via Vision and Touch
Coarse visual guidance meets precise tactile feedback for manipulating previously unseen articulated objects without explicit kinematic models.
IEEE RA-L 2025
B*: Efficient and Optimal Base Placement for Fixed-Base Manipulators
A hierarchical optimization framework jointly solves robot base placement and path planning, without precomputed kinematics databases.
ECCV 2024
Structured-NeRF: Hierarchical Scene Graph with Neural Representation
Hierarchical scene graphs organize neural radiance fields for controllable scene rearrangement with semantic and physical relationships.
Research experience
MSEI Lab Imperial College London
MRes Student · Advisor: Dr. Dandan Zhang
Exploring active tactile perception of robot–object systems, alongside studies in reinforcement learning, research data analysis, and human neuromechanical control and learning.
CoRe Lab Peking University
Research Intern · Advisor: Dr. Yixin Zhu
Developed algorithms for fixed manipulator base placement and investigated 6-DoF object pose estimation under heavy occlusion.
AIR & Lightwheel AI Tsinghua University / Industry
Research Intern · Advisor: Dr. Hao Zhao
Developed a Gaussian Splatting pipeline for 3D scene generation, contributed to NeRF-based simulation for autonomous driving, and led a team building a radar simulation module.
AI Design Lab BUCEA
Research Assistant · Advisor: Prof. Yuejia Xu
Facilitated weekly seminars on AI-assisted architectural workflows and collaborated on demonstrations of neural rendering and generative design.
Beyond the papers
Selected awards
- 2023First Prize
Beijing Challenge Cup, Entrepreneurial Plan Competition - 2022Silver Award
Beijing Challenge Cup, Entrepreneurial Plan Competition - 2022Second Class Scholarship
Beijing University of Civil Engineering and Architecture - 2022Third Prize
Blue Bridge Cup Programming Competition, Beijing Division B
Tools & skills
Programming
Python, PyTorch, C/C++; learning Rust.
Research & development
Git, Linux, LaTeX, Markdown.
3D design & rendering
Rhino, Blender, SketchUp, AutoCAD.
Outside the lab
I’ve been part of BUCEA’s student orchestra, and have worked on exhibition design, parametric design, and 3D printing.