Publications

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

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2025

Inference-Time Policy Steering through Human Interactions
Yanwei Wang, Lirui Wang, Yilun Du, Balakumar Sundaralingam, Xuning Yang, Yu-Wei Chao, Claudia Pérez D’Arpino , Dieter Fox, Julie Shah
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

2018

Fluidic Elastomer Actuators for Haptic Interactions in Virtual Reality
Jose Barreiros, Houston Claure, Bryan Peele, Omer Shapira, Josef Spjut, David Luebke, Malte Jung, Robert Shepherd
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
Jonathan Tremblay, Thang To, Bala Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation
Zhaoyang Lv, Kihwan Kim, Alejandro Troccoli, Deqing Sun, James M. Rehg, Jan Kautz
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training
Yang Zou, Zhiding Yu, B. V. K. Vijaya Kumar, Jinsong Wang
Simultaneous Edge Alignment and Learning
Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz
HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration
Ben Eckart, Kihwan Kim, Jan Kautz
EOE: Expected Overlap Estimation over Unstructured Point Cloud Data
Ben Eckart, Kihwan Kim, Jan Kautz
Region Growing Curriculum Generation for Reinforcement Learning
Artem Molchanov, Karol Hausman, Stan Birchfield, Gaurav Sukhatme
Geometry-Aware Learning of Maps for Camera Localization
Samarth Brahmbhatt, Jinwei Gu, Kihwan Kim, James Hays, Jan Kautz
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation
Jonathan Tremblay, Thang To, Stan Birchfield
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, Dieter Fox
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations
Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield
A Variable Shape and Variable Stiffness Controller for Haptic Virtual Interactions
Benjamin C. Mac Murray, Bryan N. Peele, Patricia Xu, Josef Spjut, Omer Shapira, David Luebke, Robert F. Shepherd
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach
Nikolai Smolyanskiy, Alexey Kamenev, Stan Birchfield
Riemannian Motion Policies
Nathan Ratliff, Jan Issac, Daniel Kappler, Stan Birchfield, Dieter Fox