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Thank you for joining us at ICRA 2022! NVIDIA Researchers came together to share revolutionary ideas on the future of robotics and automation. See the latest breakthroughs in AI, high-fidelity physics modeling, and 3D rendering to simulate and deploy advanced perception, mobility, and manipulation capabilities in robots.
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Featured Speakers
Dieter Fox
Senior Director of Robotics and Research, NVIDIA
Professor, University of Washington
Training Robots in Simulation
Liila Torabi
Senior Product Manager, Isaac Simulation, NVIDIA
NVIDIA Isaac Sim: A Platform for Developing and Training Smarter Robots
Erwin Coumans
Distinguished Engineer, Omniverse & Simulation Technology, NVIDIA
Accelerating physics simulators for Robotics Reinforcement Learning
Animesh Garg
Senior Research Scientist, Robotics Reinforcement Learning, NVIDIA
Professor, University of Toronto
Task, Motion, and Path Planning
NVIDIA Research at ICRA
Our accepted papers cover a wide range of groundbreaking research–from human robot interaction and collaboration to novel approaches to controller design. Explore the exceptional work we bring to the ICRA community.
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances
Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett | Paper
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation
Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav Sukhatme | Paper
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty
Rel Guzman, Rafael Oliveira, Fabio Ramos | Paper
StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects
Weiyu Liu, Chris Paxton, Tucker Hermans, and Dieter Fox | Paper
Learning Visual Shape Control of Novel 3D Deformable Objects from Partial-View Point Clouds
Bao Thach, Brian Y. Cho, Alan Kuntz, and Tucker Hermans | Paper
Model Predictive Control for Fluid Human-to-Robot Handovers
Wei Yang, Balakumar Sundaralingam, Chris Paxton, Iretiayo Akinola, Yu-Wei Chao, Maya Cakmak, Dieter Fox | Paper
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers
Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox | Paper
Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior
Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana, Buck Babich, Bryan Peele, Qian Wan, Iretiayo Akinola, Balakumar Sundaralingam, Dieter Fox, Byron Boots, Nathan D. Ratliff | Paper
PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks
Jiankai Sun, De-An Huang, Bo Lu, Yun-Hui Liu, Bolei Zhou, Animesh Garg | Paper
Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield | Paper
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation
Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nister, Nikolai Smolyanskiy | Paper
OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu | Paper
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