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Ajay Kumar Tanwani
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2020 – today
- 2022
- [j7]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): 175-199 (2022) - [c24]Ajay Kumar Tanwani, Joelle K. Barral, Daniel Freedman:
RepsNet: Combining Vision with Language for Automated Medical Reports. MICCAI (5) 2022: 714-724 - [i13]Ajay Kumar Tanwani, Joelle K. Barral, Daniel Freedman:
RepsNet: Combining Vision with Language for Automated Medical Reports. CoRR abs/2209.13171 (2022) - [i12]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 abs/2212.13138 (2022) - 2021
- [j6]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) - [j5]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) - [i11]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 abs/2102.09754 (2021) - 2020
- [j4]Ajay Kumar Tanwani
, Raghav Anand
, Joseph E. Gonzalez
, Ken Goldberg
:
RILaaS: Robot Inference and Learning as a Service. IEEE Robotics Autom. Lett. 5(3): 4423-4430 (2020) - [c23]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: 22-28 - [c22]Kate Sanders, Michael Danielczuk, Jeffrey Mahler, Ajay Kumar Tanwani, Ken Goldberg
:
Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking. CASE 2020: 1141-1148 - [c21]Ajay Kumar Tanwani:
DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer. CoRL 2020: 1558-1571 - [c20]Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg
:
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos. ICRA 2020: 2174-2181 - [c19]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: 9651-9658 - [c18]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 - [i10]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 abs/2003.09044 (2020) - [i9]Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg:
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos. CoRR abs/2006.00545 (2020) - [i8]Kate Sanders, Michael Danielczuk, Jeffrey Mahler, Ajay Kumar Tanwani, Ken Goldberg:
Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking. CoRR abs/2007.10420 (2020) - [i7]Ajay Kumar Tanwani:
DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer. CoRR abs/2011.07589 (2020)
2010 – 2019
- 2019
- [j3]Ajay Kumar Tanwani, Sylvain Calinon:
Small-variance asymptotics for non-parametric online robot learning. Int. J. Robotics Res. 38(1) (2019) - [c17]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: 1373-1379 - [c16]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: 1982-1988 - [c15]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: 4559-4566 - [c14]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: 1-7 - [c13]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: 275-290 - [c12]Nan Tian, Ajay Kumar Tanwani, Ken Goldberg
, Somayeh Sojoudi:
Mitigating Network Latency in Cloud-Based Teleoperation Using Motion Segmentation and Synthesis. ISRR 2019: 906-921 - [i6]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 abs/1903.09589 (2019) - [i5]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 abs/1910.04854 (2019) - 2018
- [b1]Ajay Kumar Tanwani:
Generative Models for Learning Robot Manipulation Skills from Humans. EPFL, Switzerland, 2018 - [j2]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): 24-33 (2018) - [c11]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: 1420-1427 - [c10]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: 196-211 - [c9]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: 212-227 - [i4]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 abs/1809.09810 (2018) - [i3]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 abs/1811.02184 (2018) - [i2]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 abs/1811.07489 (2018) - 2017
- [c8]Ajay Kumar Tanwani, Sylvain Calinon:
A generative model for intention recognition and manipulation assistance in teleoperation. IROS 2017: 43-50 - 2016
- [j1]Ajay Kumar Tanwani, Sylvain Calinon:
Learning Robot Manipulation Tasks With Task-Parameterized Semitied Hidden Semi-Markov Model. IEEE Robotics Autom. Lett. 1(1): 235-242 (2016) - [i1]Ajay Kumar Tanwani, Sylvain Calinon:
Small Variance Asymptotics for Non-Parametric Online Robot Learning. CoRR abs/1610.02468 (2016) - 2014
- [c7]Ajay Kumar Tanwani, José del R. Millán
, Aude Billard:
Rewards-driven control of robot arm by decoding EEG signals. EMBC 2014: 1658-1661 - 2013
- [c6]Ajay Kumar Tanwani, Aude Billard:
Transfer in inverse reinforcement learning for multiple strategies. IROS 2013: 3244-3250
2000 – 2009
- 2009
- [c5]Ajay Kumar Tanwani, Muddassar Farooq:
The Role of Biomedical Dataset in Classification. AIME 2009: 370-374 - [c4]Ajay Kumar Tanwani, M. Jamal Afridi, M. Zubair Shafiq, Muddassar Farooq:
Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets. EvoBIO 2009: 128-139 - [c3]Syed Bilal Mehdi, Ajay Kumar Tanwani, Muddassar Farooq:
IMAD: in-execution malware analysis and detection. GECCO 2009: 1553-1560 - [c2]Ajay Kumar Tanwani, Muddassar Farooq:
Performance evaluation of evolutionary algorithms in classification of biomedical datasets. GECCO (Companion) 2009: 2617-2624 - [c1]Ajay Kumar Tanwani, Muddassar Farooq:
Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets. IWLCS 2009: 127-144
Coauthor Index
aka: Ken Goldberg
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last updated on 2024-04-25 05:52 CEST by the dblp team
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