Yen-Jen Wang 王彥仁
Building physical AGI. From algorithms to atoms.
I am a Ph.D. student at UC Berkeley, advised by Professors Pieter Abbeel and Shankar Sastry, working closely with Professor Haozhi Qi, and interning at Amazon FAR. Early in my Ph.D., I worked closely with Professors Koushil Sreenath and Jitendra Malik.
I build learning systems that connect vision-language reasoning, whole-body control, and dexterous manipulation — toward general-purpose humanoids that operate in the real world.
Before Berkeley, I was Robot Era's founding roboticist, where I led the humanoid algorithm team and built the stack from the ground up. Later I contributed to its video world model and dexterous hand. I received my M.S. from Tsinghua IIIS (Outstanding Graduate, advised by Professor Jianyu Chen) and B.S. from National Taiwan University. Before robotics, I represented Taiwan at the International Olympiad in Informatics and the ICPC World Finals (5th place).
Recent News
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2026 · Jun
VLK tech report released with Amazon FAR.
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2026 · Jan
MomaGraph accepted to ICLR 2026 as Oral (Top 1%).
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2026 · Jan
DexScrew accepted to ICRA 2026.
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2025 · Dec
Released Choice Policy.
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2025 · Dec
Co-authored Evolution of Humanoid Locomotion Control, a survey of the field.
Selected Awards
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2024
Best Paper Award Finalist Robotics: Science and Systems (RSS)
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2019
5th Place (Silver Medal), International Collegiate Programming Contest (ICPC) World Finals
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2017
Silver Medal, International Olympiad in Informatics (IOI)
Selected Papers
A curated selection. For all papers, see Publications or my Google Scholar.
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VLK: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed Scenes
* Co-first authors · ‡ Project lead · § Equal contribution · † Amazon FAR Team Co-Lead
Tech Report, June 2026
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Learning Dexterous Manipulation Skills from Imperfect Simulations
* Equal contribution (listed in alphabetical order). · † Equal advising.
IEEE International Conference on Robotics & Automation (ICRA), 2026
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MomaGraph: State-Aware Unified Scene Graphs with Vision-Language Model for Embodied Task Planning
∗ Equal Contribution · † Equal Advising
International Conference on Learning Representations (ICLR), 2026 Oral (Top 1%)
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Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning
∗ Equal contribution. Project Co-lead. · † Corresponding Author.
Robotics: Science and Systems (RSS), 2024 Best Paper Award Finalist
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Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer
∗ Equal contribution. Listed alphabetically.