Hello, I’m
Qingyu Zhang
PhD Researcher · Electronic & Electrical Engineering · UCL
Working across robotics, embodied intelligence and bioelectronic systems to make robotic manipulation adaptive and generalisable.
Summary
I am a PhD researcher at University College London (UCL), funded by EPSRC and the China Scholarship Council (CSC), specialising in robotics, embodied intelligence, and bioelectronic systems. My research spans multimodal perception, tactile sensing, reinforcement learning, and human–robot interaction, with an emphasis on enabling adaptive and generalisable robotic manipulation.
My current research explores the evaluation and generalisation of reusable robotic skills, alongside the joint design of high-level decision-making and low-level learning-based control for complex manipulation tasks.
I have a strong background in hardware–software co-design, embedded systems, and robotic system integration, with research experience in medical robotics and haptic interfaces. Prior to joining UCL, I graduated top of my MSc class at the University of Bristol and co-invented six patents in intelligent hardware and sensing technologies.
Research Interests
- Embodied Intelligence
- Robotic Manipulation
- Reinforcement Learning
- Multimodal Perception
- Tactile Sensing
- Human–Robot Interaction
- Vision-Language-Action Models
- Bioelectronic Systems
Skills
- Programming & Machine Learning
- Python, C/C++, PyTorch, MATLAB, Verilog; computer vision, deep learning, and reinforcement learning.
- Robot Learning & Embodied AI
- Robotic policy learning and evaluation, skill-based manipulation, hierarchical decision-making, multimodal perception, and vision-language-action models (research interests).
- Robotics & Simulation
- MuJoCo, MuJoCo Warp, UR collaborative robots, Haply Inverse3 haptic interfaces, and custom robotic platforms.
- Multimodal Sensing & Bioelectronics
- Tactile and force sensing, bioimpedance measurement, sensor fusion, and real-time acquisition systems.
- Embedded Systems & Hardware
- ESP32, STM32, embedded C/C++, RTOS, BLE, SPI, I²C, UART, PCB design, mixed-signal circuit integration, and hardware debugging.
- Modelling & Engineering
- COMSOL Multiphysics, SolidWorks, Blender, finite element analysis, and electrical field simulation.
Education
PhD in Electronic and Electrical Engineering 2024.03 — 2028.02
University College London
MSc in Advanced Microelectronics Systems Engineering 2022.09 — 2023.08
University of Bristol · Distinction · GPA: 83/100
BEng in Optical and Electronical Information Science Technology 2016.09 — 2020.06
Huazhong University of Science and Technology · Outstanding Graduate · GPA: 3.22/4.0
Work Experience
Senior IoT Engineer 2021.02 — 2021.12
New Oriental Education & Technology Group · Full-time · Beijing, China
Skills: Internet of Things (IoT), C/C++ (Programming Language), Android Development, Linux,
IoT Engineer 2020.07 — 2021.01
Beijing SenseShield Technology Co., Ltd. · Full-time · Beijing, China
Membership & Peer Review
IEEE Member
Professional membership
Peer Reviewer
- IEEE TBioCAS Journal
- IEEE BioCAS Conference
- IEEE ISCAS Conference