I am a robotics engineer with expertise in simulation development, narrowing the sim-to-real gap by creation of high-fidelity virtual environments to accelerate robotic testing and deployment. I am particularly passionate about reinforcement learning and imitation learning, exploring control strategies that enable safer, more human-like interactions.
I earned my Bachelor's degree in Mechatronics Engineering from the University of Waterloo. I also conducted human-robot interaction research at the Active Robotics Interaction Lab under Dr. Yue Hu, with a publication on IEEE Robotics and Automation Letters.
Hi, I am Ji Yuan 'Steven' Feng
I am a _
I am a robotics systems engineer passionate about bringing autonomous and biomimetic robots to life.
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NVIDIA
2023 to Present
H1 humanoid robot tries to backflip
Training H1 humanoids to walk
H1 humanoid robot walking in Isaac Sim
Franka robot simulation
Reinforcement learning based drawer manipulation
High fidelity claw simulation
Ackermann steering simulation
Outdoor robot simulation
Agility humanoid robot locomotion policy
Giving a presentation on building robot digital twins at GTC 2025
ROS software-in-the-loop simulation lab at GTC 2025
Presenting the next generation simulator Newton at GTC 2025
At NVIDIA, I worked on both Isaac Lab and Isaac Sim, focusing on distinct facets of robotic simulation. In Isaac Lab, I developed scalable humanoid and legged robot models and designed reinforcement learning-based locomotion policies. In Isaac Sim, I concentrated on high-fidelity simulation, building realistic digital twins, synthetic sensor models, and inference pipelines for deploying trained policies through ROS and Isaac Sim. I also presented several talks at NVIDIA GTC on robot composition and software-in-the-loop simulation pipelines.
Education
University of Waterloo
Bachelor of Applied Science in Mechatronics Engineering with AI Option, with Distinction
Active Robotics Interaction Lab
Researched human perception of robot behaviors under Dr. Yue Hu, paper published in IEEE Robotics and Automation Letters
Stanford University
Robotics and Autonomous Systems Graduate Certificate (In Progress)
Internships
Tesla
Developed lighting apps for new Model S/X and Tesla Semi, including Tesla Light Test.
NVIDIA
Built realistic sensors and simulated quadruped robots in NVIDIA Isaac Sim's robotics platform.
ecobee
Built production test fixtures and CV/ML algorithms for smart thermostat display testing.
University of Waterloo, Faculty of Electrical and Computer Engineering
TA for intro C++ course; led tutorials, graded, designed exams.
Khazanah National Americas
Explored drone, CV, and AR/VR tech to support investor understanding and decision-making.
Ford Motor Company
Supported F150 Lightning development and testing using Jenkins, TestStand, C#, Python.
Projects
Airplane Project (2020)
The sky is calling!
In this project, I built a remote controlled airplane from scratch using raspberry pi and esp8266 modules, and designed software and mechanical architectures from scratch in a team of two.
Watonomous
Bolty!
Watonomous is a University of Waterloo design team that turns a chevy bolt to a level 4 autonomous vehicle. At Watonomous, I worked on local planning for the vehicle, particularly with the MPC controller and gained valuable experience with ROS.
Capstone Project (2023)
Multi-robot exploration and SLAM in a simulated warehouse
Initial prototype of a single robot SLAM system for exploring and mapping a 80000 sqft virtual warehouse.
Webapp Hackathon Projects
Best Use of Google Cloud Award (Purrtector, NWHacks 2021)
Intelibatch (left) is a webapp for displaying and predicting COVID19 cases across North America using React (front end), Flask (back end), and Tensorflow (prediction) to compute the optimal batch size for repeated testing
Purrtector (right) is a chrome extension for encouraging planet positive behaviors by rewarding users with digital pets using React and Flask.
Wearable Hackathon Projects
1st Place (VisionSense, MakeUofT 2019)
VisionSense (left) is an IoT outfit to haptically guide users with visual impairments/obstructions while monitoring their environment
Nightlight (right) is a wearable that allows bike users to signal turns at night via motion-sensing technologies which will activate turn lights
BOFA, the Line Follower Robot
2nd highest competition mark
Lead the mechanical design for a line following robot using SolidWorks, drafted Bill of Material, and oversee software, mechanical, and electrical developments as project manager
HiSecurity!
Hack the north, 2019
This camera system which utilizes machine vision (OpenCV and Sktlearn) to physically track and identify faces using the stepper motors onboard. The handy ui also enables users to track the system remotely and in real time.
VEX Robotics
Finalists, Alberta Provincial Championship 2017 and 2018
Over the three years, we explored various robotics systems such as holonomic drives, reverse double four bar lifts, and even learned C programming and programed PID controllers from scratch in a team of three.
Furthermore, we qualified and competed at VEX World Robotics Championship representing Canada twice, and this experience ultimately propelled me towards a career in robotics engineering.
Pilot
"Oh! I slipped the surly bonds of earth and danced the skies on bright yellow wings."
I finally touched the sky when I earned my glider pilot license in grade 10 and private pilot license in grade 11. This was an breathtaking experiences that inspires me to build robotics airplanes to this date.
Skills
C, C++, C#, CUDA
Python, MATLAB, R
Arduino, Raspberry Pi, ESP8266
OpenCV, Tensorflow, Pytorch
Solidworks, AutoCAD, Blender
ROS, ROS2, Gazebo
Isaac Sim, Isaac Lab
Private Pilot, Glider Pilot License
