Yuke Zhu
@yukez • 22,263 subscribers
Associate Professor @UTCompSci | Director @NVIDIAAI Co-Leading GEAR | CS PhD @Stanford | Building generalist robot autonomy in the wild | Opinions are my own
Videos
Today, we publicly released RoboCasa365, a large-scale simulation benchmark for training and systematically evaluating generalist robot models. Built upon our original RoboCasa framework, it offers: • 2,500 realistic kitchen environments; • 365 everyday tasks (basic skills + long-horizon mobile manipulation); • Over 3,200 objects with many articulated fixtures/appliances. All are designed for fully controlled, reproducible benchmarking of robotic policies. Progress in robotic foundation models is real. But it’s still hard to answer basic questions like: How close are we to general-purpose autonomy? What factors drive generalization? What are the model/data scaling curves like? Real-world eval is slow and noisy, and existing sims (like LIBERO, which we built 3 years ago) often lack sufficient task and scene diversity. This benchmark comes with 2,200+ hours of demonstrations and 500K+ trajectories to support studies of multi-task training, pretraining, and continual learning at scale. Check it out at
Yuke Zhu23,587 次观看 • 3 个月前
The million-dollar question in humanoid robotics is: Can humanoids tap into Internet-scale training data such as online videos due to their human-like physique? Our #CoRL2024 oral paper showed the promise of humanoids learning new skills from single video demonstrations. (1/n)
Yuke Zhu69,243 次观看 • 1 年前
We took a short break from robotics to build a human-level agent to play Competitive Pokémon. Partially observed. Stochastic. Long-horizon. Now mastered with Offline RL + Transformers. Our agent, trained on 475k+ human battles, hits the top 10% on Pokémon Showdown leaderboards. No search or heuristics, just sequence modeling. Today, we're open-sourcing our Metamon platform with our algorithms, data, and environments: 🌐 We are excited to see how our work accelerates research on building generally capable AI agents, and more importantly, inspires the next generation of Pokémon trainers!
Yuke Zhu50,457 次观看 • 1 年前
Excited to share our latest progress on legged manipulation with humanoids. We created a VR interface to remote control the Draco-3 robot 🤖, which cooks ramen for hungry graduate students at night. We can't wait for the day it will help us at home in the real world! #humanoid
Yuke Zhu68,245 次观看 • 3 年前
没有更多内容可加载