BiGS: BioTac Grasp Stability Dataset

By Yevgen Chebotar, Karol Hausman, Zhe Su, Artem Molchanov, Oliver Kroemer, G. Sukhatme, Stefan Schaal. 2016

33 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. Suraj Nair
4. Tianhe Yu
5. Pieter Abbeel
6. Sudeep Dasari
7. Abhishek Gupta
8. Frederik D. Ebert

Citations in the corpus

• RoboNet: Large-Scale Multi-Robot Learning (2019, methodology): “eds of classes, the ImageNet Large-Scale Visual Recognition Challenge (ILSVRC) contained one thousand classes. Our work is inspired by this idea: while prior robotic manipulation methods and datasets [5,46,47, 26,48,7,49] generally consider a single robot at a time, our dataset includes 7 different ”
• Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning (2019, background): “There is a long history of robotics benchmarks [28], datasets [29, 30, 31, 32, 33, 34, 35], competitions [36] and standardized object sets [37, 38] that have played an important role in robotics research.”
• Regrasping Using Tactile Perception and Supervised Policy Learning (2017, methodology): “In our previous work (Chebotar et al. 2016b), we presented a first step towards an autonomous regrasping behavior using spatio-temporal tactile features and reinforcement learning.”