Animesh Garg

Citat de

	Toate	Din 2018
Referințe bibliografice	4904	4644
h-index	40	39
i10-index	84	82

1600

800

400

1200

20152016201720182019202020212022202321 95 103 240 384 651 1112 1549 695

Acces public

Afișați-le pe toate

36 de articole

1 articol

disponibile

indisponibile

Pe baza cerințelor privind finanțarea

Coautori

Ken GoldbergProfessor, UC Berkeley and UCSFAdresă de e-mail confirmată pe berkeley.edu
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityAdresă de e-mail confirmată pe stanford.edu
Yuke ZhuAssistant Professor of Computer Science, The University of Texas at AustinAdresă de e-mail confirmată pe cs.utexas.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityAdresă de e-mail confirmată pe cs.stanford.edu
Dieter FoxUniversity of Washington and NVIDIAAdresă de e-mail confirmată pe cs.washington.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAAdresă de e-mail confirmată pe caltech.edu
Ajay MandlekarResearch Scientist, NVIDIAAdresă de e-mail confirmată pe nvidia.com
Pieter AbbeelUC Berkeley | Covariant.AIAdresă de e-mail confirmată pe cs.berkeley.edu
Samarth SinhaUniversity of TorontoAdresă de e-mail confirmată pe mail.utoronto.ca
Sanjay KrishnanUniversity of ChicagoAdresă de e-mail confirmată pe cs.uchicago.edu
Florian ShkurtiAssistant Professor, Computer Science, University of TorontoAdresă de e-mail confirmată pe cs.toronto.edu
Fabio RamosUniversity of Sydney and NVIDIAAdresă de e-mail confirmată pe sydney.edu.au
De-An HuangStanford UniversityAdresă de e-mail confirmată pe cs.stanford.edu
Jeannette BohgAssistant Professor, Stanford UniversityAdresă de e-mail confirmată pe stanford.edu
Roberto Martín-MartínAssistant Professor of Computer Science, The University of Texas at AustinAdresă de e-mail confirmată pe cs.utexas.edu
Florian T. PokornyAssociate Professor, KTH Royal Institute of TechnologyAdresă de e-mail confirmată pe kth.se
Juan Carlos NieblesPrincipal Researcher (Salesforce) & Adjunct Professor (Stanford University)Adresă de e-mail confirmată pe cs.stanford.edu
Hugo LarochelleGoogle Brain & MilaAdresă de e-mail confirmată pe google.com
Miles MacklinNVIDIAAdresă de e-mail confirmată pe nvidia.com
Buck BabichRobotics R&D Manager, NVIDIA CorporationAdresă de e-mail confirmată pe nvidia.com

Urmăriți

Animesh Garg

Assistant Professor, University of Toronto, Vector Institute, Nvidia

Adresă de e-mail confirmată pe cs.toronto.edu - Pagina de pornire

Robotic Manipulation Robot Learning Reinforcement Learning Machine Learning Computer Vision


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks MA Lee, Y Zhu, K Srinivasan, P Shah, S Savarese, L Fei-Fei, A Garg, ... 2019 International Conference on Robotics and Automation (ICRA), 8943-8950, 2019	290	2019
Learning by Observation for Surgical Subtasks: Multilateral Cutting of 3D Viscoelastic and 2D Orthotropic Tissue Phantoms A Murali, S Sen, B Kehoe, A Garg, S McFarland, S Patil, WD Boyd, ... IEEE International Conference on Robotics and Automation (ICRA), 1202 - 1209, 2015	200	2015
Neural task programming: Learning to generalize across hierarchical tasks D Xu, S Nair, Y Zhu, J Gao, A Garg, L Fei-Fei, S Savarese IEEE International Conference on Robotics and Automation (ICRA), 2018	190	2018
Automating Multiple-Throw Multilateral Surgical Suturing with a Mechanical Needle Guide and Sequential Convex Optimization S Sen, A Garg, DV Gealy, S McKinley, Y Jen, ... IEEE International Conference on Robotics and Automation (ICRA), 2016, 2016	184	2016
Learning task-oriented grasping for tool manipulation from simulated self-supervision K Fang, Y Zhu, A Garg, A Kurenkov, V Mehta, L Fei-Fei, S Savarese The International Journal of Robotics Research 39 (2-3), 202-216, 2020	172	2020
Adversarially Robust Policy Learning: Active Construction of Physically-Plausible Perturbations A Mandlekar, Y Zhu, A Garg*, L Fei-Fei, ... IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2017	164*	2017
RoboTurk: A crowdsourcing platform for robotic skill learning through imitation A Mandlekar, Y Zhu, A Garg, J Booher, M Spero, A Tung, J Gao, ... Conference on Robot Learning (CoRL), 2018	158	2018
Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning S Krishnan, A Garg, S Patil, C Lea, G Hager, P Abbeel, ... International Journal of Robotics Research 36 (13-14), 1595 - 1618, 2017	155	2017
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks R Martín-Martín, MA Lee, R Gardner, S Savarese, J Bohg, A Garg IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2019	140	2019
Weakly supervised 3d reconstruction with adversarial constraint JY Gwak, CB Choy, M Chandraker, A Garg, S Savarese 2017 International Conference on 3D Vision (3DV), 263-272, 2017	139*	2017
Multilateral Surgical Pattern Cutting in 2D Orthotropic Gauze with Deep Reinforcement Learning Policies for Tensioning B Thananjeyan, A Garg, S Krishnan, C Chen, L Miller, K Goldberg IEEE Int'l Conf. on Robotics and Automation (ICRA), 2017	131	2017
Neural task graphs: Generalizing to unseen tasks from a single video demonstration DA Huang, S Nair, D Xu, Y Zhu, A Garg, L Fei-Fei, S Savarese, ... Conference on Computer Vision and Pattern Recognition (CVPR), 8565-8574, 2019	127	2019
Making sense of vision and touch: Learning multimodal representations for contact-rich tasks MA Lee, Y Zhu, P Zachares, M Tan, K Srinivasan, S Savarese, L Fei-Fei, ... IEEE Transactions on Robotics 36 (3), 582-596, 2020	125	2020
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image A Kurenkov, J Ji, A Garg, V Mehta, JY Gwak, C Choy, ... IEEE Winter Conf. on Applications of Computer Vision (WACV), 2018	110	2018
A Single-Use Haptic Palpation Probe for Locating Subcutaneous Blood Vessels in Robot-Assisted Minimally Invasive Surgery S McKinley, A Garg, S Sen, R Kapadia, A Murali, K Nichols, S Lim, S Patil, ... IEEE International Conference on Automation Science and Engineering (CASE), 2015, 2015	96	2015
SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards S Krishnan, A Garg, R Liaw, B Thananjeyan, L Miller, FT Pokorny, ... The International Journal of Robotics Research 38 (2-3), 126-145, 2019	93*	2019
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter M Danielczuk, A Kurenkov, A Balakrishna, M Matl, D Wang, ... IEEE International Conference on Robotics and Automation (ICRA), 2019	91	2019
Finding “It”: Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos DA Huang, S Buch, L Dery, A Garg, L Fei-Fei, JC Niebles Conference on Computer Vision and Pattern Recognition (CVPR), 2018	88	2018
Conservative Safety Critics for Exploration H Bharadhwaj, A Kumar, N Rhinehart, S Levine, F Shkurti, A Garg International Conference on Learning Representations (ICLR), 2021	87	2021
Tumor localization using automated palpation with gaussian process adaptive sampling A Garg, S Sen, R Kapadia, Y Jen, S McKinley, L Miller, K Goldberg IEEE International Conference on Automation Science and Engineering (CASE …, 2016	77	2016

Sistemul nu poate realiza operația în acest moment. Încercați din nou mai târziu.

Articole 1–20

Referințe bibliografice pe an

Citate duplicat

Citate fuzionate

Adăugați coautoriCoautori

Urmăriți

Citat de

Coautori