Jerry (Qilong) Cheng 「程启龙」
I’m Jerry (Qilong) Cheng, a Robotics Ph.D. Candidate at the University of Toronto building the next generation of Embodied Intelligence — machines that move, sense, and think. I work with Prof. Jonathan Kelly in the STARS Lab (UTIAS), and began my Ph.D. at New York University with Prof. Ludovic Righetti (Machines in Motion). My mission is to engineer generalized, highly articulate robots for the home—vertically integrated systems designed to automate daily tasks, save us time, and seamlessly enrich our lives.
Research Vision
“We are born too late to explore the Earth and too early to explore the stars — but just in time to solve AI and robotics.” — Jim Fan
Robotics is nearing the scaling inflection that reshaped language and vision — and the binding constraint is large-scale, diverse action data, not new methods. I build one full-stack pipeline aimed at that bottleneck, connecting hardware co-design, learning from human video, and real-world reinforcement learning — toward general-purpose robots for the home.
“Those who are truly serious about software should design their own hardware.” — Steve Jobs
Peer-reviewed papers & preprints — cinema robot learning, calibration, humanoid locomotion, and haptics.
Robots and systems I’ve built end to end — dexterous manipulation, rocket-landing RL, legged locomotion, SLAM, and racing hardware.
[09/2026] Transferring my Ph.D. to the University of Toronto to work with Prof. Jonathan Kelly at the STARS Laboratory (UTIAS) — building dexterous manipulation on the road to solving robotics.


[08/2026] Our review “Evolution of Humanoid Locomotion Control” was published in Science Robotics (Vol. 11, Issue 117, eaed3973) — tracing humanoid locomotion from classical model-based control through learning-based control to emerging foundation- and world-model approaches. Companion reading list on GitHub.



[05/2026] Our paper IRIS was accepted to CRV 2026 (Conference on Robots and Vision) — I attended and gave an oral presentation at Simon Fraser University, Vancouver.



[11/2025] Graduated with a Master of Engineering (MEng) in Electrical & Computer Engineering (ECE) at the University of Toronto.

[10/2025] Attended IROS 2025 in Hangzhou, China and presented “AeroHaptix”.



[09/2025] Started my Ph.D. in Mechanical Engineering at New York University, joining Prof. Ludovic Righetti's Machines in Motion Lab — working with Ludovic and Katsuo.



[07/2025] Our paper on certifiably correct robot–world & hand-eye calibration was accepted to the International Journal of Robotics Research (IJRR).

[04/2025] Attended CHI 2025 in Yokohama, Japan and presented “VibraForge”.


[11/2024] Presented at ARIA 2024 in Toronto with our VibraForge toolkits.




[07/2024] Presented monocular depth estimation work at the Toronto Robotics Conference 2024.




[11/2023] Demonstrated “VibraForge” at ARIA 2023 in Toronto.





[06/2023] Graduated from the University of Toronto with a Bachelor of Applied Science (BASc) in Mechanical Engineering — mechatronics & robotics focus.

I'm always open to chatting about Robotics, Research, Startups, or just connecting! Feel free to grab a time on my calendar below.
Location: Any Cafe with Enough Clearance for a 6-DOF Robot Arm
Schedule a Coffee