Dinesh Jayaraman
Dinesh Jayaraman
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Robot Learning
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning
We propose a low-cost compact easily replicable hardware stack for manipulation tasks, that can be assembled within a few hours. We also provide implementations of robot learning algorithms for grasping (supervised learning) and reaching (reinforcement learning). Contributions invited!
Brian Yang
,
Jesse Zhang
,
Dinesh Jayaraman
,
Sergey Levine
Time-Agnostic Prediction: Predicting Predictable Video Frames
In visual prediction tasks, letting your predictive model choose which times to predict does two things: (i) improves prediction quality, and (ii) leads to semantically coherent “bottleneck state” predictions, which are useful for planning.
Dinesh Jayaraman
,
Frederik Ebert
,
Alexei A Efros
,
Sergey Levine
More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch
By exploiting high precision tactile sensing with deep learning, robots can effectively iteratively adjust their grasp configurations to boost grasping performance from 65% to 94%.
Roberto Calandra
,
Andrew Owens
,
Dinesh Jayaraman
,
Justin Lin
,
Wenzhen Yuan
,
Jitendra Malik
,
Edward H Adelson
,
Sergey Levine
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