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🎙️ Daily Podcast (FR) : NViNiO•Podcast™
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NVIDIA’s accepted papers at CoRL 2024 feature a range of groundbreaking research in the field of robotics. From humanoids to policy, explore the work NVIDIA is bringing to the CoRL community.
*Denotes equal contribution to the paper.
SPIRE: Synergistic Planning, Imitation, and Reinforcement for Long-Horizon Manipulation
Zihan Zhao, Animesh Garg, Caelan Garrett*, Ajay Mandlekar* | Website
Discovering Robotic Interaction Modes With Discrete Representation Learning
Liquan Wang, Ankit Goyal, Haoping Xu, Animesh Garg | Website
Avoid Everything: Model-Free Collision Avoidance With Expert-Guided Fine-Tuning
Adam Fishman, Aaron Walsman, Mohak Bhardwaj, Wentao Yuan, Balakumar Sundaralingam, Byron Boots, Dieter Fox | Website
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics
Wentao Yuan, Jiafei Duan, Valts Blukis, Wilbert Pumacay, Ranjay Krishna, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox | Website
DiffusionSeeder: Seeding Motion Optimization With Diffusion for Rapid Motion Planning
Raven Huang, Balakumar Sundaralingam, Arsalan Mousavian, Adithyavairavan Murali, Ken Goldberg, Dieter Fox | Website
NOD-TAMP: Generalizable Long-Horizon Planning With Neural Object Descriptors
Shuo Cheng, Caelan Garrett*, Ajay Mandlekar*, Danfei Xu | Website
SkillGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment
Caelan Garrett*, Ajay Mandlekar*, Bowen Wen, Dieter Fox | Website
Manipulate-Anything: Automating Real-World Robots Using Vision-Language Models
Jiafei Duan, Wentao Yuan, Wilbert Pumacay, Yi Ru Wang, Kiana Ehsani, Dieter Fox, Ranjay Krishna | Website
DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping With Geometric Fabrics
Tyler Ga Wei Lum*, Martin Matak*, Viktor Makoviychuk, Ankur Handa, Arthur Allshire, Tucker Hermans, Nathan D. Ratliff*, Karl Van Wyk* | Website
Multi-Task Interactive Robot Fleet Learning With Visual World Models
Huihan Liu, Yu Zhang, Vaarij Betala, Evan Zhang, James Liu, Crystal Ding, Yuke Zhu | Website
Harmon: Whole-Body Motion Generation of Humanoid Robots From Language Descriptions
Zhenyu Jiang, Yuqi Xie, Jinhan Li, Ye Yuan, Yifeng Zhu, Yuke Zhu | Website
OKAMI: Teaching Humanoid Robots Manipulation Skills Through Single Video Imitation
Jinhan Li, Yifeng Zhu, Yuqi Xie, Zhenyu Jiang, Mingyo Seo, Georgios Pavlakos, Yuke Zhu | Website
Gentle Manipulation of Tree Branches: A Contact-Aware Policy Learning Approach
Jay Jacob, Shizhe Cai, Paulo Vinicius Koerich Borges, Tirthankar Bandyopadhyay, Fabio Ramos | Website
ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot Navigation
Abrar Anwar, John Welsh, Joydeep Biswas, Soha Pouya, Yan Chang | Website
NVIDIA’s workshops at CoRL 2024 feature a range of groundbreaking research in the field of robotics. From humanoids to policy, explore the work NVIDIA is bringing to the CoRL community.
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