2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.RO2023★ 1 cited
Giving Robots a Hand: Learning Generalizable Manipulation with Eye-in-Hand Human Video Demonstrations
Moo Jin Kim, Jiajun Wu, Chelsea Finn
Eye-in-hand cameras have shown promise in enabling greater sample efficiency and generalization in vision-based robotic manipulation. However, for robotic imitation, it is still ex…
cs.LG2023★ 2 cited
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis
Allan Zhou, Moo Jin Kim, Lirui Wang +2
Expert demonstrations are a rich source of supervision for training visual robotic manipulation policies, but imitation learning methods often require either a large number of demo…