Kaizhong Deng
Graduate Research Mentor @ Imperial College London
About
TL;DR: I specialize in autonomous surgical robotics integrating computer vision, robot learning, and control, with extensive real-robot experience in medical applications. I'm a final-year PhD candidate (expected Oct 2026) at Imperial College London's Hamlyn Centre for Robotic Surgery, developing autonomous robotic systems that push the boundaries of surgical precision. My research bridges computer vision, imitation learning, deep reinforcement learning, and robotics control to enable robots to perform complex medical instrument manipulation tasks. With a track record that includes first-author publications at ICRA, experience integrating cutting-edge Vision-Language-Action models at Kinisi Robotics, and hands-on work with platforms from da Vinci surgical robots to KUKA systems, I specialise in translating AI advances into practical robotic solutions. My work on sim-to-real learning and visual servoing has achieved human-level performance in medical sampling tasks. I'm actively seeking opportunities for Summer 2026 (research internships) and full-time robotics research engineer positions starting Summer/Autumn 2026. I'm passionate about advancing robotics and AI systems that solve real-world challenges and bridge the gap between research and deployment. Open to discussing industry opportunities and research collaborations in AI and robotics—feel free to connect!
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United Kingdom
Information Technology & Services
Machine Learning, Artificial Intelligence (AI), Robotics, Robot Operating System (ROS), Robot, Scientific Research, Independent Thinking, Python (Programming Language), Problem Solving, Teamwork, Mentoring, Conflict Resolution, Critical Review, Python, 机器人操作系统 (ROS), 分析解决问题能力, 深度学习, 计算机视觉
Experience
Graduate Research Mentor
Imperial College London
Mentored 10 master’s thesis projects in imitation learning, reinforcement learning, and robotics control for medical robotic systems. Research outcomes were published at leading robotics conferences, including multiple ICRA papers.
Robotics Research Engineer - AI/ML
Kinisi
- Implemented and integrated state-of-the-art language-conditioned policy, MTACT, and Vision-Language -Action models (PI0, PI0FAST, GR00T) into production-ready policy learning pipelines for warehouse humanoid robotics applications - Developed comprehensive simulation environments for policy validation, testing, and performance optimisation across diverse warehouse scenarios - Trained and deployed AI models on real-world humanoid robots for warehouse tasks
Education
Imperial College London
Robotics and AI for Healthcare
- Focus on automated robotic-assisted optical instrument manipulation - Extensive experience developing robotic systems from the ground up, working hands-on with real-world robot implementations - Key techniques: Robot Learning, Learning from Demonstrations, Reinforcement Learning, Visual Servoing, Robotic Systems, Computer Vision for Medical Robotics,
Imperial College London
Distinction with 79.8% in MRes thesis (TOP 5%)
University of Liverpool
First class, 82% in Year 3 (TOP1), 85% in Final Year Project with distinguished thesis prize. Thesis project leads to a publication on MICCAI workshop
Xi'an Jiaotong-Liverpool University
[Top 5% in cohort] Year 0 Academic Excellence Scholarship [Top 1 in cohort] Year 1 Academic Excellence Scholarship for Overseas Exchange Students to UoL
Kaizhong Deng's Contact Information
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