Sotabase

Career

· Co-founder, Assured Robot Intelligence (ARI)2020–
· Assistant Professor, Computer Science at Courant Institute, New York University2020–
· Postdoctoral Researcher, University of California, Berkeley2019–2020
· Research Intern, Google Brain2018–2018
· Research Intern, OpenAI2017–2017
· PhD in Robotics, Carnegie Mellon University2014–2019
· Research Intern, Kyushu University2013–2013
· Research Intern, Hanyang University2012–2012
· B.Tech in Mechanical Engineering, Indian Institute of Technology Guwahati2010–2014

Publications (132)

Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours
IEEE International Conference on Robotics and Automation · 2015
1,196
cited
Robust Adversarial Reinforcement Learning
International Conference on Machine Learning · 2017
978
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
IEEE International Conference on Robotics and Automation · 2023
785
cited
Reinforcement Learning with Augmented Data
Neural Information Processing Systems · 2020
742
cited
Asymmetric Actor Critic for Image-Based Robot Learning
Robotics: Science and Systems · 2017
454
cited
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
International Conference on Learning Representations · 2021
430
cited
Behavior Transformers: Cloning k modes with one stone
Neural Information Processing Systems · 2022
341
cited
Learning to fly by crashing
IEEE/RJS International Conference on Intelligent RObots and Systems · 2017
289
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation · 2024
282
cited
Reinforcement Learning with Prototypical Representations
International Conference on Machine Learning · 2021
249
cited
Learning to Manipulate Deformable Objects without Demonstrations
Robotics: Science and Systems · 2019
218
cited
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
Robotics: Science and Systems · 2022
205
cited
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
Conference on Robot Learning · 2020
202
cited
The Surprising Effectiveness of Representation Learning for Visual Imitation
Robotics: Science and Systems · 2021
200
cited
The Curious Robot: Learning Visual Representations via Physical Interactions
European Conference on Computer Vision · 2016
192
cited
Self-Supervised Policy Adaptation during Deployment
International Conference on Learning Representations · 2020
182
cited
URLB: Unsupervised Reinforcement Learning Benchmark
NeurIPS Datasets and Benchmarks · 2021
164
cited
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
Neural Information Processing Systems · 2018
158
cited
Visual Imitation Made Easy
Conference on Robot Learning · 2020
151
cited
State-Only Imitation Learning for Dexterous Manipulation
IEEE/RJS International Conference on Intelligent RObots and Systems · 2020
141
cited
Sotabase