NVIDIA at RSS 2026

NVIDIA at RSS 2026

July 13–17
International Convention Centre (ICC) Sydney
Sydney, Australia

Discover NVIDIA Robotics Research and Papers at RSS 2026

The 2026 Robotics Science and Systems (RSS) conference brings together researchers in all areas of robotics from around the world for an engaging and focused week of single-track presentations, workshops, poster sessions, and tutorials. Explore the work to see how NVIDIA Research is accelerating breakthroughs in AI-powered robotics.

Featured Talks from NVIDIA

Wednesday, June 3 at 4:45 p.m. CET: Cosmos 3: An OmniModel of Text, Video, and Action for Physical AI

In an era of rapid AI progress, leveraging accelerated computing and big data has unlocked new possibilities to develop generalist AI models. As AI systems like ChatGPT showcase remarkable performance in the digital realm, we are compelled to ask: Can we achieve similar breakthroughs in the physical world—to create generalist humanoid robots capable of performing everyday tasks? In this talk, I will present NVIDIA’s data-centric research principles and approaches for building general-purpose robot autonomy in the open world. I will discuss our recent works leveraging real-world, synthetic, and web data for training robotic foundation models. By combining these advances with cutting-edge developments in humanoid robotics, I will outline a roadmap for the next generation of autonomous robots.


NVIDIA Research Papers and Workshops at RSS

NVIDIA’s accepted papers and talks at RSS 2026 feature a range of groundbreaking research in the field of robotics.

TactAlign: Human-to-Robot Policy Transfer via Tactile Alignment 
Youngsun Wi, Jessica Yin, Elvis Xiang, Akash Sharma, Jitendra Malik, Mustafa Mukadam, Nima Fazeli, Tess Hellebrekers


An Open Foundation Model Towards Universal Humanoid Loco-Manipulation
Songlin Wei, Hongyi Jing, Boqian Li, Zhenyu Zhao, Jiageng Mao, Zhenhao Ni, Sicheng He, Sheng Zang, Xiawei Liu, Kaidi Kang, Jie Liu, Weiduo Yuan, Marco Pavone, Di Huang, Yue Wang


Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning
Milan Ganai, Katie Z. Luo, Jonas Frey, Clark Barrett, Marco Pavone


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


Asymptotically Optimal Ergodic Coverage on Generalized Motion Fields
Christian Hughes, Yilang Liu, Yanis Lahrach, Julia Engdahl, Houston Warren, Darrick Lee, Fabio Ramos, Travis Miles, Ian Abraham


Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
Anthony Liang, Yigit Korkmaz, Jiahui Zhang, Minyoung Hwang, Abrar Anwar, Sidhant Kaushik, Aditya Shah, Alex S. Huang, Luke Zettlemoyer, Dieter Fox, Yu Xiang, Anqi Li, Andreea Bobu, Abhishek Gupta, Stephen Tu, Erdem Biyik, Jesse Zhang


KinDER: A Physical Reasoning Benchmark for Robot Learning and Planning
Yixuan Huang, Bowen Li, Vaibhav Saxena, Yichao Liang, Utkarsh Aashu Mishra, Liang Ji, Lihan Zha, Jimmy Wu, Nishanth Kumar, Sebastian Scherer, Danfei Xu, Tom Silver


LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion
Jiangran Lyu, Kai Liu, Xuheng Zhang, Haoran Liao, Yusen Feng, Wenxuan Zhu, Tingrui Shen, Jiayi Chen, Jiazhao Zhang, Yifei Dong, Cui Wenbo, Senmao Qi, Shuo Wang, Yixin Zheng, Mi Yan, Xuesong Shi, Haoran Li, Dongbin Zhao, Ming-Yu Liu, Zhizheng Zhang, Li Yi, Yizhou Wang, He Wang

RSS Pioneer Workshop
July 12, 2026


Mapping the Reef: Underwater 3D Reconstruction for Coral Ecosystems
July 17, 2026


AI Open-World Navigation in the Foundation Model Era
July 17, 2026


Robot World Models
July 17, 2026


Lab-to-Production Workshop: Toward Industrial-Grade Perception and Manipulation
July 17, 2026


Tactile Sensing for Robotic Foundation Models
July 17, 2026


Reinforcement Learning for Vision-Language-Action Models (RL4VLA)
July 17, 2026


Explore NVIDIA Research

Go beyond the conference—discover the labs, tools, and open research powering these breakthroughs.

Research Labs

Explore cutting-edge work from NVIDIA’s research labs, spanning AI, graphics, robotics, and autonomous systems. Access code, publications, and interactive demos.

Publications

Browse the full catalog of peer-reviewed NVIDIA papers across all conferences, journals, and preprints—searchable by topic, year, and research area.

AI Playground

Try interactive demos of our latest research in generative AI, vision, speech, and more—no setup required. See the science in action before diving into the code.


NVIDIA Robotics Research

Learn about NVIDIA Research and our passion for developing ‌technology and finding breakthroughs that bring positive change to the world. Beyond publishing our work in papers and at conferences, we apply it to NVIDIA solutions and services, share resources and code, and offer hands-on experiences with technical demos.


NVIDIA Solutions for Robotics

Robotics

The NVIDIA Isaac™ platform accelerates the development of AI-driven robots, streamlining processes from design and simulation to deployment. This enables key functions like navigation, mobility, grasping, and vision, supporting robotics across industries such as manufacturing, agriculture, logistics, and healthcare.

Vision AI

The NVIDIA Metropolis platform simplifies the development, deployment, and scaling of visual AI agents from edge to cloud. These agents enhance operational efficiency, worker productivity, and safety in manufacturing, warehousing, logistics, and retail.

Edge AI

NVIDIA brings the power of AI to edge devices, processing data at the source to provide actionable, real-time insights. This enhances decision-making, improves services, and streamlines operations, while boosting security and reducing costs through local processing.

Like No Place You’ve Ever Worked

Working at NVIDIA, you’ll solve some of the world’s hardest problems and discover never-before-seen ways to improve the quality of life for people everywhere. From healthcare to robots, self-driving cars to blockbuster movies, you’ll experience it all. Plus, there’s a growing list of new opportunities every single day. Explore all of our open roles, including internships and new college graduate positions.

Learn more about our current job openings, as well as university jobs.

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