NVIDIA at ICRA 2026
June 1–5
VIECON — Vienna Congress & Convention Center
Vienna, Austria
Discover What’s Possible With NVIDIA Robotics at ICRA
The 2026 IEEE International Conference on Robotics and Automation brings the global robotics community to share research, exchange ideas, and advance robotics and automation. Explore the work to see how NVIDIA Research is accelerating breakthroughs in AI-powered robotics.
Featured Talks
Wednesday, June 3 at 2:45 p.m. CET
Keynote: Building Generalist Humanoid Robots
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 at ICRA
NVIDIA’s accepted papers and workshops at ICRA 2026 feature a range of groundbreaking research in the field of robotics.
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Papers
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Workshops
SPARR: Simulation-based Policies with Asymmetric Real-world Residuals for Assembly
Yijie Guo, Iretiayo Akinola, Lars Johannsmeier, Hugo Hadfield, Abhishek Gupta, Yashraj Narang
Refinery: Active Fine-tuning and Deployment-time Optimization for Contact-Rich Policies
Bingjie Tang, Iretiayo Akinola, Jie Xu, Bowen Wen, Michael Lin, Dieter Fox, Gaurav S. Sukhatme, Fabio Ramos, Abhishek Gupta, Yashraj Narang
PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
Jesse Zhang, Marius Memmel, Kevin Kim, Dieter Fox, Jesse Thomason, Fabio Ramos, Erdem Biyik, Abhishek Gupta, Anqi Li
ScheduleStream: Temporal Planning with Samplers for GPU-Accelerated Multi-Arm Task and Motion Planning & Scheduling
Caelan Garrett, Fabio Ramos
Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment Verification
Yilin Wu, Anqi Li, Tucker Hermans, Fabio Ramos, Andrea Bajcsy, Claudia Perez-D'Arpino
DiffDef: A Diffusion Model for Generating Multimodal Goal Shapes From Demonstrations for Deformable Object Manipulation
Bao Thach, Tanner Watts, Siyeon Kim, Britton Jordan, Mohanraj Devendran Shanthi, Shing-Hei Ho, James M. Ferguson, Tucker Hermans, Alan Kuntz
GraspGen: A Diffusion-based Framework for 6-DOF Grasping With On-Generator Training
Adithyavairavan Murali, Balakumar Sundaralingam, Yu-Wei Chao, Wentao Yuan, Jun Yamada, Mark Carlson, Fabio Ramos, Stan Birchfield, Dieter Fox, Clemens Eppner
Grasp-MPC: Closed-Loop Visual Grasping via Value-Guided Model Predictive Control
Jun Yamada, Adithyavairavan Murali, Ajay Mandlekar, Clemens Eppner, Ingmar Posner, Balakumar Sundaralingam
A Hybrid Optimization Framework for Grasp Synthesis Under Partial Observations
Wenzheng Zhang, Fahira Afzal Maken, Tin Lai, Fabio Ramos
Agility Meets Stability: Versatile Humanoid Control With Heterogeneous Data
Yixuan Pan, Ruoyi Qiao, Li Chen, Kashyap Chitta, Liang Pan, Haoguang Mai, Cunyuan Zheng, Hao Zhao, Ping Luo, Hongyang Li
UDON: Uncertainty-weighted Distributed Optimization for Multi-Robot Neural Implicit Mapping Under Extreme Communication Constraints
Hongrui Zhao, Xunlan Zhou, Boris Ivanovic, Negar Mehr
Efficient Multi-Camera Tokenization With Triplanes for End-to-End Driving
Boris Ivanovic, Cristiano Saltori, Yurong You, Yan Wang, Wenjie Luo, Marco Pavone
V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving With Multi-Modal Large Language Models
Hsu-kuang Chiu, Ryo Hachiuma, Chien-Yi Wang, Stephen F. Smith, Yu-Chiang Frank Wang, Min-Hung Chen
COMPASS: Cross-embodiment Mobility Policy via Residual RL and Skill Synthesis
Wei Liu, Huihua Zhao, Chenran Li, Yuchen Deng, Joydeep Biswas, Soha Pouya, Yan Chang
MimicDroid: In-Context Learning for Humanoid Robot Manipulation From Human Play Videos
Rutav Shah, Shuijing Liu, Qi Wang, Zhenyu Jiang, Sateesh Kumar, Mingyo Seo, Roberto Martin-Martin, Yuke Zhu
SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning
Yu Zhang, Yuqi Xie, Huihan Liu, Rutav Shah, Michael Wan, Linxi "Jim" Fan, Yuke Zhu
Deformable Cluster Manipulation Via Whole-Arm Policy Learning
Jayadeep Jacob, Wenzheng Zhang, Houston Warren, Paulo Vinicius Koerich Borges, Tirthankar Bandyopadhyay, Fabio Ramos
Generalization in Autonomous Driving: Paradigms, Practice, and Public Road Demonstrations
Generative Digital Twins for Real2Sim and Sim2Real Transfer in Robotics
From Data to Decisions: VLA Pipelines for Real Robots
Semantics for Reliable Robot Autonomy: From Environment Understanding and Reasoning to Safe Interaction
Refinery: Active Fine-tuning and Deployment-time Optimization for Contact-Rich Policies
NVIDIA Research
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NVIDIA Solutions for Robotics
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