Sotabase

Career

· Lead Research Scientist, Bosch2023–
· Research Scientist, Verily / Google2021–2023
· Postdoctoral Scholar, University of California, Berkeley2018–2021
· Intern, Google2017–2017
· Doctor of Philosophy (Ph.D.), Computer Science, Ecole polytechnique fédérale de Lausanne2012–2018
· PHD, EPFL (École polytechnique fédérale de Lausanne)2012–2018
· Master of Science in Engineering, Robotics, Warsaw University of Technology2010–2011
· Master of Robotics Engineering, Robotics, University of Genoa2009–2010
· Research Engineer, FAST-NUCES2008–2009
· Bachelor of Engineering (BE), Mechatronics, National University of Science and Technology2004–2008

Publications (50)

Large language models encode clinical knowledge
Nature · 2022
3,536
cited
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor
IEEE/RJS International Conference on Intelligent RObots and Systems · 2019
134
cited
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
Robotics: Science and Systems · 2020
106
cited
Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making
International Symposium of Robotics Research · 2018
98
cited
Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics · 2009
93
cited
A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering
IEEE International Conference on Robotics and Automation · 2019
85
cited
Learning Robot Manipulation Tasks With Task-Parameterized Semitied Hidden Semi-Markov Model
IEEE Robotics and Automation Letters · 2016
84
cited
A generative model for intention recognition and manipulation assistance in teleoperation
IEEE/RJS International Conference on Intelligent RObots and Systems · 2017
65
cited
Dexterous Underwater Manipulation from Onshore Locations: Streamlining Efficiencies for Remotely Operated Underwater Vehicles
IEEE robotics & automation magazine · 2018
59
cited
Autonomous reinforcement learning with experience replay.
Neural Networks · 2013
58
cited
IMAD: in-execution malware analysis and detection
Annual Conference on Genetic and Evolutionary Computation · 2009
52
cited
VisuoSpatial Foresight for physical sequential fabric manipulation
Autonomous Robots · 2021
43
cited
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos
IEEE International Conference on Robotics and Automation · 2020
40
cited
Dexrov: Dexterous undersea inspection and maintenance in presence of communication latencies
2015
36
cited
RepsNet: Combining Vision with Language for Automated Medical Reports
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2022
36
cited
RILaaS: Robot Inference and Learning as a Service
IEEE Robotics and Automation Letters · 2020
33
cited
Deep Imitation Learning of Sequential Fabric Smoothing Policies
arXiv.org · 2019
30
cited
Dexterous Undersea Interventions with Far Distance Onshore Supervision: the DexROV Project
2016
30
cited
Dex-Net as a Service (DNaaS): A Cloud-Based Robust Robot Grasp Planning System
2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) · 2018
29
cited
DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer
Conference on Robot Learning · 2020
29
cited
Sotabase
Ajay Tanwani | Researcher Profile | Sotabase | Sotabase