๐ŸŽ“How I Study AIHISA
๐Ÿ“–Read
๐Ÿ“„Papers๐Ÿ“ฐBlogs๐ŸŽฌCourses
๐Ÿ’กLearn
๐Ÿ›ค๏ธPaths๐Ÿ“šTopics๐Ÿ’กConcepts๐ŸŽดShorts
๐ŸŽฏPractice
๐Ÿ“Daily Log๐ŸŽฏPrompts๐Ÿง Review
SearchSettings
How I Study AI - Learn AI Papers & Lectures the Easy Way

Papers2

AllBeginnerIntermediateAdvanced
All SourcesarXiv
#sim-to-real transfer

UltraDexGrasp: Learning Universal Dexterous Grasping for Bimanual Robots with Synthetic Data

Intermediate
Sizhe Yang, Yiman Xie et al.Mar 5arXiv

Robots need many different ways to grab things, just like people use pinch, tripod, whole-hand, or two hands together.

#bimanual dexterous grasping#universal grasp policy#synthetic data generation

Not triaged yet

EgoPush: Learning End-to-End Egocentric Multi-Object Rearrangement for Mobile Robots

Intermediate
Boyuan An, Zhexiong Wang et al.Feb 20arXiv

EgoPush teaches a small mobile robot to push multiple objects into patterns (like a cross or a line) using only what it sees from its own camera, without any global map.

#egocentric perception#non-prehensile manipulation#object-centric representation

Not triaged yet