Shengyang Zhuang

PhD student in Robotics/AI at UCL;
Prev. Research Engineer at EPFL;
Master of Research from Imperial College London;
I'm

About

Robotics Engineer, MRes, BEng.

I am a PhD student at the Intelligent Robotics Group, Department of Computer Science, University College London. Before joining UCL, I was a Robotics Research Engineer at EPFL, Switzerland, for my master's valorisation. I earned my Master of Research degree in Medical Robotics with Distinction from the Hamlyn Centre for Robotic Surgery at Imperial College London. I am grateful to be supported by Chiang Chen Foundation and Imperial College during my master's degree. Prior to Imperial, I spent my last year undergraduate at ETH Zurich, Switzerland, mainly for my bachelor's thesis. I obtained my Bachelor of Engineering degree in Automation from Harbin Institute of Technology, Harbin, China, in June 2023, with a semester abroad at KTH and a year abroad at ETH Zurich, and with the highest honor "Top Ten Outstanding Graduates of Harbin Institute of Technology" (哈尔滨工业大学十佳大学生).

  • Institution: University College London
  • E-mail: shengyang.zhuang.25 (AT) ucl.ac.uk
  • Location: London, UK


Research Interest

My PhD research aims to understand animals through robotics. I am particularly interested in how cheetahs optimize stability, efficiency, and agility in their movement. To study this, I am exploring Inverse Reinforcement Learning (IRL) and Inverse Optimal Control (IOC) as tools to uncover the principles underlying cheetah locomotion. More broadly, I envision robotics as a scientific method to investigate animal biomechanics, bridging neuromechanics, control theory, and biorobotics to gain new insights into locomotor strategies in nature.

My general research interest is at the intersection of Robotics, Computer Vision, and Machine Learning, particularly with applications in lab automation, dexterous manipulation, life sciences and healthcare.

My motto is: if I am going to do something, I want to learn how to do it well. I might not become the best in the world at it, but I will learn how the people who are the best in the world are doing it.

Research & Development help get myself out of the comfort zone and push my boundaries. I like to put theory into practice. Most of the time, I am driven by problems rather than methods. I often think about how my work can make a difference. I enjoy the sense of achievements when my projects are published and seen by the world that it may someday aid those in need, or even pioneer new directions in my field. Ever since I could remember, a robot/machine that actually does something on its own makes me excited. In my life, I like working in a diverse and interdisciplinary environment.

News

Curriculum Vitae

Click here to view my CV.

Education

University College London

Oct. 2025 -- present
London, UK

Working on my PhD in Computer Science

Research topics: Understanding Cheetah Locomotion using Inverse Reinforcement Learning.

Supervisor: Dr. Amir Patel and Prof. Dimitrios Kanoulas


Imperial College London

Sept. 2023 -- Nov. 2024
London, UK

Master of Research (M.Res.) in Medical Robotics

MRes thesis: "Multi-Robot System Prototyping for Cooperative Control in Robot-assisted Spine Surgery", grade: Distinction
Supervisor: Prof. Ferdinando Rodriguez y Baena


ETH Zürich

Jun. 2022 -- Jun. 2023
Zürich, Switzerland

Invited visiting student in Mechanical Engineering

Bachelor's thesis: "Acoustically-Assisted Volumetric 3D Printing with Feedback Optimization", grade 6.0/6.0
Supervisor: Prof. Daniel Ahmed

KTH Royal Institute of Technology

Jan. 2022 -- Jun. 2022
Stockholm, Sweden

Exchange student in Electrical Engineering and Computer Science

Harbin Institute of Technology

Aug. 2019 -- Jan. 2022
Harbin, China

Bachelor of Engineering (B.Eng.) in Automation

Supervisor: Prof. Huijun Gao


Xiamen No.1 High School of Fujian

Sept. 2016 -- Jun. 2019
Xiamen, China

High School Diploma

Work Experience

École Polytechnique Fédérale de Lausanne (EPFL)

Feb. 2025 -- Jul. 2025
Neuchâtel, Switzerland

Robotics Research Engineer (Master's Valorisation/Intern)

Topics: Developed AI & Robotics assistant for lab automation AUTOHIAM (funded by EPFL enable).
Supervisor: Prof. Daryl Yee


School of Physics, Harbin Institute of Technology

Aug. 2021 -- Dec. 2021
Harbin, China

Teaching assistant for the course "Mathematical Principles in College Physics"


Research Experience

The Hamlyn Centre for Robotic Surgery, Imperial College London

Jan. 2024 - Oct. 2024
London, UK

Graduate student researcher at Mechatronics in Medicine Lab

Oct. 2023 - Dec. 2023
London, UK

Graduate student researcher at Human-Centred Automation, Robotics and Monitoring in Surgery Lab (Imperial College St. Mary's Hospital)


Institute of Robotics and Intelligent Systems, ETH Zürich

Jun. 2022 -- Jun. 2023
Zürich, Switzerland

Undergraduate student researcher at Acoustic Robotics Systems Lab (Binnig and Rohrer Nanotechnology Center IBM Research Zurich & ETH Zürich)

Conferences, Summer Schools

  • ROSCon China 2024, Shanghai, China, December 7th - 8th 2024 Gave a Lightning Talk on "ROS2 packages for plug-in-play hand-eye calibration, cuRobo GPU-accelerated motion planning, Marker-less object detection".
  • Cambridge Ellis Unit Summer School on Probabilistic Machine Learning 2024, University of Cambridge, Cambridge, UK, July 15th - 19th 2024 Attended lectures on Gaussian process, Advanced probabilistic models, Reinforcement learning, Generative models, and Causal ML, etc.
  • The 16th Hamlyn Symposium on Medical Robotics, Royal Geographical Society, London, UK, June 25th - 29th 2024 Presented a Poster title: "Multi-robot system prototyping for cooperative control in robot-assisted spine surgery".
  • AERO-TRAIN summer school (Marie-Sklodowska-Curie Network), Chania, Crete, Greece, June 8th - 10th 2024 Attended lectures and exercises on aerial robot perception (motion planning, target detection); visual servoing control; teleoperation and haptics for human-robot interaction.

Selected Scholarships

  • UCL Research Studentship and MathWorks Fellowship, UCL Department of Computer Science and MathWorks, 06 2025
    Awarded ~£253,321 for international tuition fee and living stipend for four years.
  • Chiang Chen Overseas Fellowship 2023/2024, Chiang Chen Industrial Charity Foundation and HongKong Chen Hsong Group, 07 2023
    Awarded $50,000 for academic excellence (9 recipients nationwide) to fund full-time study at Imperial College.
  • Hamlyn Bursary, Hamlyn Centre and Institute of Global Health Innovation at Imperial College, 06 2023
    Awarded £3,000 to partially fund the living costs during master’s study.
  • Top Ten Outstanding Graduates [哈尔滨工业大学十佳大学生], Harbin Institute of Technology, 12 2021
    Awarded ¥10,000 for top academic performance (10 recipients across Harbin, Shenzhen, and Weihai campuses).

Selected Competitions

  • 2021 National College Students’ Mathematical Modeling Competition, Higher Education Press Cup. [全国大学生数学建模竞赛]
    First Prize in Heilongjiang Province, China Society for Industrial and Applied Mathematics, 11 2021
  • 2020 National College Students’ Mathematical Modeling Competition, Higher Education Press Cup. [全国大学生数学建模竞赛]
    First Prize in Heilongjiang Province, China Society for Industrial and Applied Mathematics, 12 2020
  • The 12th National College Students’ Mathematics Competition, non-mathematics major. [全国大学生数学竞赛(非数学类)]
    First Prize in Heilongjiang Province, Chinese Mathematical Society, 12 2020
  • The 2018 National High School Students' Mathematics Olympiad Competition. [全国高中生数学竞赛]
    Second Prize in Fujian Province, Chinese Mathematical Society, 10 2018

Portfolio

Master's Valorisation (at EPFL)

AUTOHIAM: Automated Robotic System for Hydrogel Infusion Additive Manufacturing

AUTOHIAM is an open-source robotic platform that automates the full HIAM workflow, enabling chemists to run multi-cycle, multi-sample experiments 24/7 without programming. It integrates vision-based pose estimation with ArUco markers and GPU-accelerated motion planning (cuRobo) for collision-free sample transfer, supports liquid handling with low-cost pumps, robot-assisted drying, and obstacle-aware planning. Chemists interact via natural language and monitor remotely. Validated on Gen2 metal-ceramic fabrication, AUTOHIAM delivers manual-quality samples with improved safety, scalability, and throughput.


Master's thesis (at Imperial)

Multi-Robot System Prototyping for Cooperative Control in Robot-Assisted Spine Surgery

Object tracking in robot-assisted surgery has been clinically validated worldwide. However, optical marker is prone to light-of-sight blockage. A multi-robot cooperative system was developed, where one robot performed continuously tracking while avoiding collision with environmental obstacles and the second robot which performed surgery. We translated cuRobo, a GPU-accelerated motion planner, by integrating with LBR-stack ROS2 driver. A demo showcasing markerless knee tracking with collision avoidance was implemented.


Bachelor's thesis (at ETH)

SonoPrint: Acoustically Assisted Volumetric 3D Printing with Feedback Optimization

SonoPrint is an innovative 3D printer that revolutionizes composite manufacturing by integrating acoustic reinforcement patterning directly into the printing process. It operates on the principle of volumetric printing, which reconstructs the entire 3D object simultaneously rather than layer by layer. It generates complex geometries with embedded reinforcement particles, such as glass, metal, and polystyrene (regardless of their size, shape or charge), within seconds to tens of seconds. It unlocks new possibilities in tissue engineering, biohybrid robots, and composite fabrication.


Semester project (at Imperial)

Soft Optical Tactile Sensor for Tumour Detection in Robotic Surgery

Robotic minimally invasive surgery has proven to enhance patient outcomes. However, there is a lack of tactile feedback which provides crucial information for surgery. Here we developed a soft optical tactile sensor to detect tumour size, hardness, and location beneath the skin. A replacable mechanical airtight structure was designed via CAD and PDMS molding. Two different computer vision algorithms were developed to identify changes of dot patterns. A CNN model was further trained to identify the results.



  • All
  • Robotics
  • Machine Learning
  • Computer Vision
  • Others

Publications

Journal articles

SonoPrint: Acoustically Assisted Volumetric 3D Printing for Composites
Advanced Materials
Prajwal Agrawal, Shengyang Zhuang, Simon Dreher, Sarthak Mitter and Daniel Ahmed

Theses

Multi-Robot System Prototyping for Cooperative Control in Robot-Assisted Spine Surgery
Imperial College London
Shengyang Zhuang

SonoPrint: Acoustically Assisted Volumetric 3D Printing with Feedback Optimization
ETH Zurich
Shengyang Zhuang

Posters

Multi-Robot System Prototyping for Cooperative Control in Robot-Assisted Spine Surgery
The 16th Hamlyn Symposium on Medical Robotics, Royal Geographical Society, London, UK
Shengyang Zhuang, Connor Daly, Hisham Iqbal, Ferdinando Rodriguez y Baena

Miscellaneous

Media Coverage in Chinese/English


Student associations/clubs membership


Volunteering

  • MRes Medical Robotics 2023/2024 cohort student representatives, social role, Imperial College London, 09 2023 -- 09 2024
  • Graduation volunteer, Imperial College London, 05 2024
  • Volunteering teacher, online support education for Luoning No. 1 High school, partnered with Harbin Institute of Technology, 06 2020 -- 06 2021

Music & Sports

  • Saxophone, since primary school, certificate from The Chinese Central Conservatory of Music
  • Skiing, Surfing, Scuba diving, amateur
  • Long jump, ranked 1st in the Jimei District Primary and Secondary School Sports Games
  • High jump, ranked 2nd in the Jimei District Primary and Secondary School Sports Games
  • Basketball, former school team member of Ningbao primary school of Jimei District, Xiamen


Photo Gallery

Imperial Imperial Imperial