robopen.github.io - RoboAgent: Towards Sample Efficient Robot Manipulation with Semantic Augmentations and Action Chunking

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Description: RoboAgent

large-scale robot learning robotic dataset (1)

Example domain paragraphs

Universal RoboAgent exhibiting its skills across diverse tasks in unseen scenarios

RoboAgent can efficiently acquire a wide diversity of non-trivial skills and can generalize them to diverse unseen scenarios .

Trained merely on 7500 trajectories , we are demonstrating a universal RoboAgent that can exhibit a diverse set of 12 non-trivial manipulation skills (beyond picking/pushing, including articulated object manipulation and object re-orientation) across 38 tasks and can generalize them to 100s of diverse unseen scenarios (involving unseen objects, unseen tasks, and to completely unseen kitchens). RoboAgent can also evolve its capabilities with new experiences.

Links to robopen.github.io (3)

• shubhtuls.github.io Shubham Tulsiani - Home
• jdvakil.github.io Jay Darshan Vakil
• mohitsharma0690.github.io Home | Mohit Sharma, CMU Robotics