no code implementations • 14 May 2024 • Jared Mejia, Victoria Dean, Tess Hellebrekers, Abhinav Gupta
Although pre-training on a large amount of data is beneficial for robot learning, current paradigms only perform large-scale pretraining for visual representations, whereas representations for other modalities are trained from scratch.
1 code implementation • 15 Feb 2024 • Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman, Carmel Majidi, Abhinav Gupta, Tess Hellebrekers, Lerrel Pinto
Reasoning from sequences of raw sensory data is a ubiquitous problem across fields ranging from medical devices to robotics.
no code implementations • 27 Oct 2022 • Raunaq Bhirangi, Abigail DeFranco, Jacob Adkins, Carmel Majidi, Abhinav Gupta, Tess Hellebrekers, Vikash Kumar
High cost and lack of reliability has precluded the widespread adoption of dexterous hands in robotics.
1 code implementation • 29 Oct 2021 • Raunaq Bhirangi, Tess Hellebrekers, Carmel Majidi, Abhinav Gupta
Soft sensors have continued growing interest in robotics, due to their ability to enable both passive conformal contact from the material properties and active contact data from the sensor properties.