Ajay Kumar Tanwani

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 37

Top Topics

Manipulation Tasks

Imitation Learning

Reinforcement Learning

Top Venues

Int. J. Robotics Res.

Publications

Ajay Kumar Tanwani, Joelle K. Barral, Daniel Freedman
RepsNet: Combining Vision with Language for Automated Medical Reports. CoRR (2022)
Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
VisuoSpatial Foresight for physical sequential fabric manipulation. Auton. Robots 46 (1) (2022)
Ajay Kumar Tanwani, Joelle K. Barral, Daniel Freedman
RepsNet: Combining Vision with Language for Automated Medical Reports. MICCAI (5) (2022)
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
Large Language Models Encode Clinical Knowledge. CoRR (2022)
Ajay Kumar Tanwani, Andy Yan, Jonathan Lee, Sylvain Calinon, Ken Goldberg
Sequential robot imitation learning from observations. Int. J. Robotics Res. 40 (10-11) (2021)
Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
VisuoSpatial Foresight for Physical Sequential Fabric Manipulation. CoRR (2021)
Jonathan N. Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg
Dynamic regret convergence analysis and an adaptive regularization algorithm for on-policy robot imitation learning. Int. J. Robotics Res. 40 (10-11) (2021)
Jingyi Song, Ajay Kumar Tanwani, Jeffrey Ichnowski, Michael Danielczuk, Kate Sanders, Jackson Chui, Juan Aparicio Ojea, Ken Goldberg
Robust Task-Based Grasping as a Service. CASE (2020)
Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation. Robotics: Science and Systems (2020)
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
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor. IROS (2020)
Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos. CoRR (2020)
Ajay Kumar Tanwani, Raghav Anand, Joseph E. Gonzalez, Ken Goldberg
RILaaS: Robot Inference and Learning as a Service. IEEE Robotics Autom. Lett. 5 (3) (2020)
Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos. ICRA (2020)
Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation. CoRR (2020)
Ajay Kumar Tanwani
DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer. CoRR (2020)
Kate Sanders, Michael Danielczuk, Jeffrey Mahler, Ajay Kumar Tanwani, Ken Goldberg
Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking. CoRR (2020)
Kate Sanders, Michael Danielczuk, Jeffrey Mahler, Ajay Kumar Tanwani, Ken Goldberg
Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking. CASE (2020)
Ajay Kumar Tanwani
DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer. CoRL (2020)
Nan Tian, Ajay Kumar Tanwani, Jinfa Chen, Mas Ma, Robert Zhang, Bill Huang, Ken Goldberg, Somayeh Sojoudi
A Fog Robotic System for Dynamic Visual Servoing. ICRA (2019)
Ajay Kumar Tanwani, Sylvain Calinon
Small-variance asymptotics for non-parametric online robot learning. Int. J. Robotics Res. 38 (1) (2019)
Brijen Thananjeyan, Ajay Kumar Tanwani, Jessica J. Ji, Danyal Fer, Vatsal Patel, Sanjay Krishnan, Ken Goldberg
Optimizing Robot-Assisted Surgery Suture Plans to Avoid Joint Limits and Singularities. ISMR (2019)
Ajay Kumar Tanwani, Nitesh Mor, John Kubiatowicz, Joseph E. Gonzalez, Ken Goldberg
A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering. CoRR (2019)
Benno Staub, Ajay Kumar Tanwani, Jeffrey Mahler, Michel Breyer, Michael Laskey, Yutaka Takaoka, Max Bajracharya, Roland Siegwart, Ken Goldberg
Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator. CASE (2019)
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
Deep Imitation Learning of Sequential Fabric Smoothing Policies. CoRR (2019)
Nan Tian, Ajay Kumar Tanwani, Ken Goldberg, Somayeh Sojoudi
Mitigating Network Latency in Cloud-Based Teleoperation Using Motion Segmentation and Synthesis. ISRR (2019)
Daniel Seita, Nawid Jamali, Michael Laskey, Ajay Kumar Tanwani, Ron Berenstein, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg
Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making. ISRR (2019)
Ajay Kumar Tanwani, Nitesh Mor, John Kubiatowicz, Joseph E. Gonzalez, Ken Goldberg
A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering. ICRA (2019)
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
Dexterous Underwater Manipulation from Onshore Locations: Streamlining Efficiencies for Remotely Operated Underwater Vehicles. IEEE Robotics Autom. Mag. 25 (4) (2018)
Jonathan N. Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg
A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. WAFR (2018)
Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. WAFR (2018)
Pusong Li, Bill DeRose, Jeffrey Mahler, Juan Aparicio Ojea, Ajay Kumar Tanwani, Ken Goldberg
Dex-Net as a Service (DNaaS): A Cloud-Based Robust Robot Grasp Planning System. CASE (2018)
Daniel Seita, Nawid Jamali, Michael Laskey, Ron Berenstein, Ajay Kumar Tanwani, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg
Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric. CoRR (2018)
Jonathan Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg
A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. CoRR (2018)
Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. CoRR (2018)
Ajay Kumar Tanwani, Sylvain Calinon
A generative model for intention recognition and manipulation assistance in teleoperation. IROS (2017)
Ajay Kumar Tanwani, Sylvain Calinon
Small Variance Asymptotics for Non-Parametric Online Robot Learning. CoRR (2016)
Ajay Kumar Tanwani, Sylvain Calinon
Learning Robot Manipulation Tasks With Task-Parameterized Semitied Hidden Semi-Markov Model. IEEE Robotics Autom. Lett. 1 (1) (2016)
Ajay Kumar Tanwani, José del R. Millán, Aude Billard
Rewards-driven control of robot arm by decoding EEG signals. EMBC (2014)
Ajay Kumar Tanwani, Aude Billard
Transfer in inverse reinforcement learning for multiple strategies. IROS (2013)
Ajay Kumar Tanwani, Muddassar Farooq
Performance evaluation of evolutionary algorithms in classification of biomedical datasets. GECCO (Companion) (2009)
Ajay Kumar Tanwani, Muddassar Farooq
Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets. IWLCS (2009)
Ajay Kumar Tanwani, Muddassar Farooq
The Role of Biomedical Dataset in Classification. AIME (2009)
Syed Bilal Mehdi, Ajay Kumar Tanwani, Muddassar Farooq
IMAD: in-execution malware analysis and detection. GECCO (2009)
Ajay Kumar Tanwani, M. Jamal Afridi, M. Zubair Shafiq, Muddassar Farooq
Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets. EvoBIO (2009)