July 13–17
International Convention Centre (ICC) Sydney
Sydney, Australia
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.
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
Go beyond the conference—discover the labs, tools, and open research powering these breakthroughs.
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.
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