Publications

Our publications provide insight into some of our leading-edge research.

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2025

Cosmos Transfer 1: World-to-World Transfer with Adaptive Multi-Control for Physical AI
Ming-Yu Liu
Cosmos-Reason 1: From Physical AI Common Sense to Embodied Decisions
Tsung-Yi Lin, Ming-Yu Liu
NVIDIA Isaac GR00T N1: An Open Foundation Model for Humanoid Robots
Yuke Zhu, Linxi "Jim" Fan, NVIDIA GEAR Team
Principles and guidelines for evaluating social robot navigation algorithms
Anthony Francis*, Claudia Pérez D’Arpino*, CHENGSHU LI, FEI XIA, ALEXANDRE ALAHI, RACHID ALAMI, ANIKET BERA, ABHIJAT BISWAS, JOYDEEP BISWAS, ROHAN CHANDRA, HAO-TIEN LEWIS CHIANG, MICHAEL EVERETT, SEHOON HA, JUSTIN HART, JONATHAN P. HOW, HARESH KARNAN, TSANG-WEI EDWARD LEE, LUIS J. MANSO, REUTH MIRSKY, SÖREN PIRK, PHANI TEJA SINGAMANENI, PETER STONE, ADA V. TAYLOR, PETER TRAUTMAN, NATHAN TSOI, MARYNEL VÁZQUEZ, XUESU XIAO, PENG XU, NAOKI YOKOYAMA, ALEXANDER TOSHEV, ROBERTO MARTÍN-MARTÍN
Cosmos World Foundation Model Platform for Physical AI
Ming-Yu Liu, Many other contributors at https://d1qx31qr3h6wln.cloudfront.net/publications/NVIDIA%20Cosmos_4.pdf, Jing Zhang
TacSL: A Library for Visuotactile Sensor Simulation and Learning
Iretiayo Akinola, Jie Xu, Jan Carius, Dieter Fox, Yashraj Narang

2024

FactorSim: Generative Simulation via Factorized Representation
Fan-Yun Sun, S. I. Harini, Angela Yi, Yihan Zhou, Alex Zook, Jonathan Tremblay, Logan Cross, Jiajun Wu, Nick Haber
Diffusion-Reward Adversarial Imitation Learning
Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Frank Wang, Min-Hung Chen, Shao-Hua Sun
AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent
Tongzhou Mu, Yijie Guo, Jie Xu, Ankit Goyal, Hao Su, Dieter Fox, Animesh Garg
MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting
Chen Tessler, Kelly Guo, Ofir Nabati, Gal Chechik, Jason Peng
Experimental Assessment of Human-Robot Teaming for Multi-Step Remote Manipulation with Expert Operators
Claudia D’Arpino , Rebecca P. Khurshid, Julie A. Shah
Fast Explicit-Input Assistance for Teleoperation in Clutter
Nick Walker, Xuning Yang, Animesh Garg, Maya Cakmak, Dieter Fox, Claudia D’Arpino
Differentiable GPU-Parallelized Task and Motion Planning
William Shen, Caelan Garrett, Nishanth Kumar, Ankit Goyal, Tucker Hermans, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Fabio Ramos
SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation
Zihan Zhou, Animesh Garg, Dieter Fox, Caelan Garrett, Ajay Mandlekar
SkillGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment
Caelan Garrett, Ajay Mandlekar, Bowen Wen, Dieter Fox
NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors
Shuo Cheng, Caelan Garrett, Ajay Mandlekar, Danfei Xu
HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation
Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Caelan Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal
Guiding Long-Horizon Task and Motion Planning with Vision Language Models
Zhutian Yang, Caelan Garrett, Dieter Fox, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Constructability-driven design of frame structures with state-space search methods
Yijiang Huang, Caelan Garrett, Caitlin Mueller
Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
Ryan Hoque, Ajay Mandlekar, Caelan Garrett, Ken Goldberg, Dieter Fox
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability
Xiaolin Fang, Caelan Garrett, Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
Best Conference Paper Finalist
Best Student Paper Finalist
Learning to Move Like Professional Counter-Strike Players
David Durst, F. Xie, V. Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, C. Taylor, G. Bernstein, S. Choudhury, P. Hanrahan,, Kayvon Fatahalian
Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
Ignat Georgiev, Krishnan Srinivasan, Jie Xu, Eric Heiden, Animesh Garg
RVT-2: Learning Precise Manipulation from Few Examples
Ankit Goyal, Valts Blukis, Jie Xu, Yijie Guo, Yu-Wei Chao, Dieter Fox
AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries
Bingjie Tang, Iretiayo Akinola, Jie Xu, Bowen Wen, Ankur Handa, Karl Van Wyk, Dieter Fox, Gaurav S. Sukhatme, Fabio Ramos, Yashraj Narang
Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following
Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos
Real-Time Anomaly Detection and Reactive Planning with Large Language Models
Rohan Sinha, Amine Elhafsi, Christopher Agia, Matthew Foutter, Edward Schmerling, Marco Pavone
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
Bowen Wen, Wei Yang, Jan Kautz, Stan Birchfield
Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects
Yijia Weng, Bowen Wen, Jonathan Tremblay, Valts Blukis, Dieter Fox, Leo Guibas, Stan Birchfield
SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handovers
Sammy Christen, Lan Feng, Wei Yang, Yu-Wei Chao, Otmar Hilliges, Jie Song
SKT-Hang: Hanging Everyday Objects via Object-Agnostic Semantic Keypoint Trajectory Generation
Chia-Liang Kuo, Yu-Wei Chao, Yi-Ting Chen