Yuke Zhu
Director And Distinguished Research Scientist at The University of Texas at Austin
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolYuke Zhu is a director-level research scientist and academic leader with 14 years of experience advancing robotics and embodied AI, currently co-leading NVIDIA’s Generalist Embodied Agent Research (GEAR) group while directing the Robot Perception and Learning Lab at UT Austin. His work probes the perception-action loop to produce general-purpose robot autonomy, blending foundational research with systems engineering for both simulated and physical agents. He has deep experience shipping core robotics infrastructure—contributing to the initial robosuite release by implementing Baxter environment support—and a track record spanning Stanford, DeepMind, AI2, and industry internships. Yuke combines PhD-level rigor with product-minded execution, moving ideas from simulation benchmarks to real-world experiments. Based in Austin, he is building foundation models for embodied agents and actively recruiting collaborators and students. An uncommon strength is his ability to operate across low-level robot control, simulation frameworks, and large-scale model development.
14 years of coding experience
13 years of employment as a software developer
Bachelor of Science (BSc), Computing Science, Bachelor of Science (BSc), Computing Science at Simon Fraser UniversityBachelor of Engineering (BEng), Computer Science and Technology, Bachelor of Engineering (BEng), Computer Science and Technology at Zhejiang UniversityDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Stanford University
Github Skills (5)
python10
reinforcement-learning9
robotics9
simulation8
simulations8
Programming languages (2)
Github contributions (5)
ARISE-Initiative/robosuite
Oct 2017 - Dec 2022
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 53 reviews, 158 commits in 5 years 1 month
Contributions summary:Yuke contributed to the initial release of the robosuite framework by adding key functionality and code related to the Baxter environment. The primary focus of the commits was on setting up the environment including loading the model, defining references, and implementing action control. These contributions involved defining core robotic components, setting up the necessary parameters, and implementing environment interactions for the Baxter robot.
robotics-simulationrobot-manipulationsimulation-frameworkmodularitypybullet
yukezhu/visual7w-qa-models
Apr 2016 - Oct 2019
Contributions:8 commits, 18 pushes, 3 branches in 3 years 6 months
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