Chong Liu
Robot Control Engineer
📍 Shenzhen, Guangdong, China
Hi there! I'm Chong Liu, a Robot Control Engineer based in Shenzhen, China. I hold a master's degree in Mechanical Engineering from Columbia University, specializing in Robotics and Control.
I'm currently focused on humanoid robot reinforcement learning and imitation learning for motion control, working at BridgeDP Robotics Co., Ltd. to deliver customized motion control solutions for client humanoid robots.
I'm fascinated by designing and building advanced, life-like robots, and applying robotics technology to help people in need. This webpage contains my project documentation and resources to start on robotics from scratch. Together, let's make the world a better place!
🛠️ Projects
Humanoid Robot Learning Paper Notebooks
A curated collection of paper reading notes on humanoid robot learning, covering reinforcement learning, imitation learning, and motion control for bipedal locomotion and whole-body control.
📚 View Notes → View Source →Robotics Tech Stack
A structured robotics knowledge navigation project that uses motion control as the entry point, focusing on reinforcement learning, imitation learning, humanoid robots, and gradually expanding toward perception, planning, software systems, deployment, and full-stack robotics engineering.
🗺️ Visit Website → View Source →RL Sim2Sim Demo Website
A browser-based demo platform for running humanoid robot RL policy inference in real-time, combining MuJoCo WebAssembly simulation with ONNX Runtime to visualize trained locomotion policies without any local installation.
🤖 View Demo → View Source →Proportional Control Valve
Designed and manufactured a proportional control valve for pneumatic systems — a mechatronics project involving CAD modeling (Fusion 360), kinematic analysis, tolerance stack-up, spring characterization, and multi-disciplinary team coordination.
💼 View Project →📝 Research Experience
Publications listed in reverse chronological order. See Google Scholar for citation details.
Fourier Analysis Guided Cable Actuator Design for Coordinated Walking Assistance
Cable-driven exoskeletons add minimal inertia and restrictions to the user's leg while still providing feedback and quantitative measures of the user's performance. This work proposes a Fourier analysis guided approach to reduce the number of actuated motors needed for cable-driven exoskeletons in walking assistance.
Google Scholar →Machining of High Aspect Ratio Micro-Holes on Titanium Alloy Using Silver Nano Powder Mixed Micro EDM Drilling
Investigates the feasibility of machining high aspect ratio micro-through holes in Ti-6Al-4V titanium alloy using micro-EDM with silver nanopowder mixed dielectric for aerospace turbine blade cooling applications.
Google Scholar →Investigating the Micro-EDM Machinability of Bulk Metallic Glass in Micro-EDM Drilling
Evaluates the micro-EDM machinability of Bulk Metallic Glass (BMG), assessing material removal rate, tool wear rate, surface quality, and dimensional accuracy for high aspect ratio micro-hole fabrication.
Google Scholar →Effect of Conductive Coatings on Micro-Electro-Discharge Machinability of Aluminum Nitride Ceramic Using On-Machine-Fabricated Microelectrodes
Investigates the feasibility of machining micro-holes on non-conductive Aluminum Nitride ceramics using the "Assistive Electrode" micro-EDM process with multi-layer conductive coatings.
Google Scholar →Experimental Investigation and Numerical Simulation of Micro-EDM of Bulk Metallic Glass with Focus on Crater Sizes
Investigates the machinability of Bulk Metallic Glass using micro-EDM, evaluating crater sizes and overcut of micro-holes through experimental investigation and numerical simulation.
Google Scholar →Powder Mixed Micro Electro Discharge Machining of Aluminium Nitride Ceramic
Explores the Assisting Electrode Method as a solution for machining non-conductive Aluminum Nitride ceramics using powder mixed micro-EDM process.
Google Scholar →Optimization of Electric Discharge Machining Based Processes
Comprehensively discusses optimization techniques — Taguchi robust design, grey relational analysis, genetic algorithm, and neural network — for Electric Discharge Machining based processes.
Google Scholar →Micro-Wire-EDM
Provides a concise overview of the micro-wire-electro-discharge machining (micro-WEDM) process, covering process mechanism, system components, parameters, variants, and innovative applications.
Google Scholar →