tingwu.wang

@TingwuWang

Research scientist in robotics @ GEAR Nvidia. I obtained my PhD from University of Toronto @UofT, Vector Institute @VectorInst 😃

San Jose, California

tingwuwang.github.io

Joined June 2018

623 Following

1,431 Followers

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tingwu.wang
@TingwuWang
Apr 29
What is missing to bring real-time motion research into AAA games and real-world robotics? We present MotionBricks, a step toward bridging this gap with two key components: - a single generative latent motion backbone covering 350,000+ motion skills, running at 15,000 FPS with 2
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tingwu.wang
@TingwuWang
7h
head is a huge upgrade, but the color scheme is a huge downgrade. i like the metal texture more 😐
Unitree
@UnitreeRobotics
17h
Unitree Introducing: H2-X Kung Fu Legend Guardian🤖 Powerful performance to serve and guard you, with a maximum endurance of approximately 8 hours. Please use the robot safely and in a friendly manner.
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tingwu.wang
@TingwuWang
Oct 20
hmm... going to try this in our robot stack...🔥🔥🔥
ViggleAI
@ViggleAI
Oct 19
Replying to @ViggleAI
JST-2 reconstructs complete 3D environments from sparse real-world observations and expands them from new viewpoints. This opens a path to building robot simulation environments from real places. Generated scenes render locally, without running the model for every frame.
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tingwu.wang
@TingwuWang
Oct 19
looks amazing!
ViggleAI
@ViggleAI
Oct 19
Today we are releasing JST-2, the world's first full-stack physics-native world foundation model. Many world models learn in pixel/video space. We went back to first principles and built the entire model stack in 3D. Generate a 3D scene in seconds and expand it in real
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tingwu.wang
@TingwuWang
Sep 11
🔥🔥🔥🔥
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