Ajay Kumar Tanwani

According to our database, Ajay Kumar Tanwani authored at least 35 papers between 2009 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Large Language Models Encode Clinical Knowledge.

Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Kumar Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal Schärli, Aakanksha Chowdhery, Philip Andrew Mansfield, Blaise Agüera y Arcas, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomasev, Yun Liu, Alvin Rajkomar, Joelle K. Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan

CoRR, 2022

VisuoSpatial Foresight for physical sequential fabric manipulation.

Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

Auton. Robots, 2022

RepsNet: Combining Vision with Language for Automated Medical Reports.

Ajay Kumar Tanwani, Joelle K. Barral, Daniel Freedman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Sequential robot imitation learning from observations.

Ajay Kumar Tanwani, Andy Yan, Jonathan Lee, Sylvain Calinon, Ken Goldberg

Int. J. Robotics Res., 2021

Dynamic regret convergence analysis and an adaptive regularization algorithm for on-policy robot imitation learning.

Jonathan N. Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg

Int. J. Robotics Res., 2021

2020

RILaaS: Robot Inference and Learning as a Service.

Ajay Kumar Tanwani, Raghav Anand, Joseph E. Gonzalez, Ken Goldberg

IEEE Robotics Autom. Lett., 2020

VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation.

Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

Proceedings of the Robotics: Science and Systems XVI, 2020

Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor.

Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba, John F. Canny, Ken Goldberg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos.

Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer.

Ajay Kumar Tanwani

Proceedings of the 4th Conference on Robot Learning, 2020

Robust Task-Based Grasping as a Service.

Jingyi Song, Ajay Kumar Tanwani, Jeffrey Ichnowski, Michael Danielczuk, Kate Sanders, Jackson Chui, Juan Aparicio Ojea, Ken Goldberg

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking.

Kate Sanders, Michael Danielczuk, Jeffrey Mahler, Ajay Kumar Tanwani, Ken Goldberg

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

Small-variance asymptotics for non-parametric online robot learning.

Ajay Kumar Tanwani, Sylvain Calinon

Int. J. Robotics Res., 2019

Deep Imitation Learning of Sequential Fabric Smoothing Policies.

Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba, John F. Canny, Ken Goldberg

CoRR, 2019

Mitigating Network Latency in Cloud-Based Teleoperation Using Motion Segmentation and Synthesis.

Nan Tian, Ajay Kumar Tanwani, Ken Goldberg, Somayeh Sojoudi

Proceedings of the Robotics Research, 2019

Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making.

Daniel Seita, Nawid Jamali, Michael Laskey, Ajay Kumar Tanwani, Ron Berenstein, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg

Proceedings of the Robotics Research, 2019

Optimizing Robot-Assisted Surgery Suture Plans to Avoid Joint Limits and Singularities.

Brijen Thananjeyan, Ajay Kumar Tanwani, Jessica J. Ji, Danyal Fer, Vatsal Patel, Sanjay Krishnan, Ken Goldberg

Proceedings of the International Symposium on Medical Robotics, 2019

A Fog Robotic System for Dynamic Visual Servoing.

Nan Tian, Ajay Kumar Tanwani, Jinfa Chen, Mas Ma, Robert Zhang, Bill Huang, Ken Goldberg, Somayeh Sojoudi

Proceedings of the International Conference on Robotics and Automation, 2019

A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering.

Ajay Kumar Tanwani, Nitesh Mor, John Kubiatowicz, Joseph E. Gonzalez, Ken Goldberg

Proceedings of the International Conference on Robotics and Automation, 2019

Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator.

Benno Staub, Ajay Kumar Tanwani, Jeffrey Mahler, Michel Breyer, Michael Laskey, Yutaka Takaoka, Max Bajracharya, Roland Siegwart, Ken Goldberg

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018

Generative Models for Learning Robot Manipulation Skills from Humans.

Ajay Kumar Tanwani

PhD thesis, 2018

Dexterous Underwater Manipulation from Onshore Locations: Streamlining Efficiencies for Remotely Operated Underwater Vehicles.

Andreas Birk, Tobias Doernbach, Christian A. Mueller, Tomasz Luczynski, Arturo Gomez Chavez, Daniel Koehntopp, Andras Gabor Kupcsik, Sylvain Calinon, Ajay Kumar Tanwani, Gianluca Antonelli, Paolo Di Lillo, Enrico Simetti, Giuseppe Casalino, Giovanni Indiveri, Luigi Ostuni, Alessio Turetta, Andrea Caffaz, Peter Weiss, Thibaud Gobert, Bertrand Chemisky, Jeremi Gancet, Torsten Siedel, Shashank Govindaraj, Xavier Martinez, Pierre Letier

IEEE Robotics Autom. Mag., 2018

Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric.

Daniel Seita, Nawid Jamali, Michael Laskey, Ron Berenstein, Ajay Kumar Tanwani, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg

CoRR, 2018

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models.

Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning.

Jonathan N. Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Dex-Net as a Service (DNaaS): A Cloud-Based Robust Robot Grasp Planning System.

Pusong Li, Bill DeRose, Jeffrey Mahler, Juan Aparicio Ojea, Ajay Kumar Tanwani, Ken Goldberg

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2017

A generative model for intention recognition and manipulation assistance in teleoperation.

Ajay Kumar Tanwani, Sylvain Calinon

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Learning Robot Manipulation Tasks With Task-Parameterized Semitied Hidden Semi-Markov Model.

Ajay Kumar Tanwani, Sylvain Calinon

IEEE Robotics Autom. Lett., 2016

2014

Rewards-driven control of robot arm by decoding EEG signals.

Ajay Kumar Tanwani, José del R. Millán, Aude Billard

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Transfer in inverse reinforcement learning for multiple strategies.

Ajay Kumar Tanwani, Aude Billard

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2009

Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets.

Ajay Kumar Tanwani, Muddassar Farooq

Proceedings of the Learning Classifier Systems, 2009

Performance evaluation of evolutionary algorithms in classification of biomedical datasets.

Ajay Kumar Tanwani, Muddassar Farooq

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

IMAD: in-execution malware analysis and detection.

Syed Bilal Mehdi, Ajay Kumar Tanwani, Muddassar Farooq

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets.

Ajay Kumar Tanwani, M. Jamal Afridi, M. Zubair Shafiq, Muddassar Farooq

Proceedings of the Evolutionary Computation, 2009

The Role of Biomedical Dataset in Classification.

Ajay Kumar Tanwani, Muddassar Farooq

Proceedings of the Artificial Intelligence in Medicine, 2009