Scott Reed

NVIDIA

NVIDIA Research

Papers on Lattice

Total citations

Topics

h-index

Publication activitypapers/week, last 8 weeks

Research focus

Robotics & Embodied AI (3)Multimodal Models (2)World Models & Planning (2)Scaling Laws & Emergent Abilities (1)

Frequent co-authors

Yunhao Ge (3)Yuke Zhu (3)Ruijie Zheng (2)Fengyuan Hu (2)

Papers (3)

Jul 16, 2026

NVIDIA1w ago·also Stanford HAI, Equal advising, UT Austin

RoboTTT: Context Scaling for Robot Policies

Scaling visuomotor context to 8K timesteps enables robots to master complex tasks and adapt in real-time, outperforming previous models by a staggering margin.

Yunfan Jiang, Yevgen Chebo-tar, Ruijie Zheng +10

Robotics & Embodied AI Scaling Laws & Emergent Abilities

Feb 17, 2026

NVIDIAFeb 17, 2026·also BAIR, Ant Digital Technologies, Equal advising, Georgia Tech +3

World Action Models are Zero-shot Policies

Forget painstakingly engineering robot behaviors: DreamZero learns directly from video of other robots or even humans, adapting to new tasks and bodies with just minutes of data.

Seonghyeon Ye, Yunhao Ge, Shenyuan Gao +41

Multimodal Models Robotics & Embodied AI World Models & Planning

Oct 28, 2025

NVIDIAOct 28, 2025·also BUPT, Cohere, Georgia Tech, KAIST +5

World Simulation with Video Foundation Models for Physical AI

Forget synthetic data that looks like it came from a PS2 game: NVIDIA's new Cosmos-Predict2.5 generates high-fidelity videos for training embodied AI, opening the door to more realistic and reliable simulations.

Nvidia Arslan Ali, Junjie Bai, Maciej Bala +8536