activity
20212024
most citedAssistive Tele-op: Leveraging Transformers to Collect Robotic Task Demonstrations

8 citations · 14 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2024

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation

Zhendong Wang, Zhaoshuo Li, Ajay Mandlekar +9

Diffusion models, praised for their success in generative tasks, are increasingly being applied to robotics, demonstrating exceptional performance in behavior cloning. However, the…

cs.RO2024

AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries

Bingjie Tang, Iretiayo Akinola, Jie Xu +7

Robotic assembly for high-mixture settings requires adaptivity to diverse parts and poses, which is an open challenge. Meanwhile, in other areas of robotics, large models and sim-t…

cs.RO20235 cited

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Ajay Mandlekar, Soroush Nasiriany, Bowen Wen +5

Imitation learning from a large set of human demonstrations has proved to be an effective paradigm for building capable robot agents. However, the demonstrations can be extremely c…

cs.RO20231 cited

IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality

Bingjie Tang, Michael A. Lin, Iretiayo Akinola +5

Robotic assembly is a longstanding challenge, requiring contact-rich interaction and high precision and accuracy. Many applications also require adaptivity to diverse parts, poses,…

cs.RO2023

DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets

Isabella Huang, Yashraj Narang, Ruzena Bajcsy +3

Robotic grasping of 3D deformable objects is critical for real-world applications such as food handling and robotic surgery. Unlike rigid and articulated objects, 3D deformable obj…

cs.RO20218 cited

Assistive Tele-op: Leveraging Transformers to Collect Robotic Task Demonstrations

Henry M. Clever, Ankur Handa, Hammad Mazhar +7

Sharing autonomy between robots and human operators could facilitate data collection of robotic task demonstrations to continuously improve learned models. Yet, the means to commun…