Skip to content

Learning andPerceptionResearch

Advancing Embodied and Scientific Intelligence

Embodied and Scientific Intelligence

NVIDIA’s Learning and Perception Research (LPR) group, led by Jan Kautz, advances embodied intelligence for humanoid robots, digital agents, and AI scientists. Our teams develop robot policies, efficient foundation models, and robust perception and reasoning systems. We publish our research and openly release code and models for the broader community.

LPR’s Teams

Recent Publications

View all 393

SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control

Zhengyi Luo, Ye Yuan, Tingwu Wang, Chenran Li, Fernando Castañeda, Sirui Chen, Zi-Ang Cao, Jiefeng Li, David Minor, Qingwei Ben, Jinhyung Park, David Sami, Zi Wang, Xingye Da, Runyu Ding, Cyrus Hogg, Lina Song, Edy Lim, Eugene Jeong, Tairan He, Haoru Xue, Wenli Xiao, Simon Yuen, Jan Kautz, Yan Chang, Umar Iqbal, Linxi “Jim” Fan, Yuke Zhu

Science Robotics · 2026

RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies

Xuning Yang, Rishit Dagli, Alex Zook, Hugo Hadfield, Ankit Goyal, Stan Birchfield, Fabio Ramos, Jonathan Tremblay

Robotics: Science and Systems (RSS) · 2026

RADIO1D: Elastic Representations for Condensed Vision Modeling

Greg Heinrich, Mike Ranzinger, Collin McCarthy, Natan Bagrov, Eugene Khvedchenya, Bryan Catanzaro, Jan Kautz, Andrew Tao, Pavlo Molchanov

International Conference on Machine Learning (ICML) · 2026

Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model

Xinyin Ma, Julius Berner, Chao Liu, Arash Vahdat, Weili Nie, Xinchao Wang

International Conference on Machine Learning (ICML) · 2026

Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control

Ali Taghibakhshi, Ruisi Cai, Saurav Muralidharan, Sharath Turuvekere Sreenivas, Ameya Sunil Mahabaleshwarkar, Marcin Chochowski, Akhiad Bercovich, Ran Zilberstein, Ran El-Yaniv, Yonatan Geifman, Daniel Korzekwa, Yoshi Suhara, Oluwatobi Olabiyi, Ashwath Aithal, Nima Tajbakhsh, Pavlo Molchanov

International Conference on Machine Learning (ICML) · 2026

SpaCeFormer: Space-Curve Transformer for Open-Vocabulary 3D Instance Segmentation without Proposals

Chris Choy, Junha Lee, Chunghyun Park, Minsu Cho, Jan Kautz

International Conference on Machine Learning (ICML) · 2026