Regrasping Using Tactile Perception and Supervised Policy Learning

By Yevgen Chebotar, Karol Hausman, Oliver Kroemer, G. Sukhatme, Stefan Schaal. 2017

11 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Sergey Levine
2. Chelsea Finn
3. Pieter Abbeel
4. Julian Ibarz
5. Yoshua Bengio
6. Abhinav Kumar Gupta
7. Trevor Darrell
8. Abhishek Gupta

Citations in the corpus

• QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation (2018, background): “While most prior grasping methods operate in open-loop, a number of works have studied closedloop grasping [22, 23, 24, 25].”
• How to train your robot with deep reinforcement learning: lessons we have learned (2021, background): “A number of works have studied closed loop grasping (Yu and Rodriguez 2018; Viereck et al. 2017; Hausman et al. 2017; Levine et al. 2018).”