Shirui Lyu is a PhD candidate in Computer Science at King's College London with six years of research and engineering experience focused on robot perception and path planning. A UCL MEng (First Class) graduate, Shirui has contributed to practical robotics research at UCL’s Robot Perception and Learning Lab and co-authored a ViT-Path planner accepted to IEEE Humanoids 2024. Early internships included a departmental scholarship project on 3D mobile printing path planning, demonstrating strength in translating theory into applied systems. Based in England, Shirui blends strong academic training with hands-on implementation and experimentation in perception and planning. Colleagues describe Shirui as methodical and fast at prototyping—equally comfortable with model design and system integration.
6 years of coding experience
1 year of employment as a software developer
Higher National Diploma, Higher National Diploma at Shenzhen College of International Education
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at King's College London
MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.
Contributions:18 PRs, 38 pushes, 3 branches in 4 months
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