Animesh Garg

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	Hepsi	2020 yılından bugüne
Alıntılar	10080	9162
h-endeksi	55	54
i10-endeksi	117	114

3500

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2016201720182019202020212022202320242025108 101 243 393 670 1138 1497 2107 3472 266

Genel erişim

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45 makale

1 makale

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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Ken GoldbergProfessor, UC Berkeley and UCSFberkeley.edu üzerinde doğrulanmış e-posta adresine sahip
Silvio SavareseAssociate Professor of Computer Science at Stanford Universitystanford.edu üzerinde doğrulanmış e-posta adresine sahip
Yuke ZhuThe University of Texas at Austin, NVIDIA Researchcs.utexas.edu üzerinde doğrulanmış e-posta adresine sahip
Dieter FoxUniversity of Washington and NVIDIAcs.washington.edu üzerinde doğrulanmış e-posta adresine sahip
Li Fei-FeiProfessor of Computer Science, Stanford Universitycs.stanford.edu üzerinde doğrulanmış e-posta adresine sahip
Ajay MandlekarResearch Scientist, NVIDIAnvidia.com üzerinde doğrulanmış e-posta adresine sahip
Anima AnandkumarCalifornia Institute of Technology and NVIDIAcaltech.edu üzerinde doğrulanmış e-posta adresine sahip
Florian ShkurtiAssistant Professor, Computer Science, University of Torontocs.toronto.edu üzerinde doğrulanmış e-posta adresine sahip
Fabio RamosUniversity of Sydney and NVIDIAsydney.edu.au üzerinde doğrulanmış e-posta adresine sahip
Pieter AbbeelUC Berkeley | Covariantcs.berkeley.edu üzerinde doğrulanmış e-posta adresine sahip
Sanjay KrishnanUniversity of Chicagocs.uchicago.edu üzerinde doğrulanmış e-posta adresine sahip
Jeannette BohgAssistant Professor, Stanford Universitystanford.edu üzerinde doğrulanmış e-posta adresine sahip
Ankit GoyalNVIDIAnvidia.com üzerinde doğrulanmış e-posta adresine sahip
Valts BlukisNVIDIAnvidia.com üzerinde doğrulanmış e-posta adresine sahip
Miles MacklinNVIDIAnvidia.com üzerinde doğrulanmış e-posta adresine sahip
Alan Aspuru-GuzikProfessor of Chemistry and Computer Science, University of Toronto (starting July 1, 2018)utoronto.ca üzerinde doğrulanmış e-posta adresine sahip
Roberto Martín-MartínThe University of Texas at Austincs.utexas.edu üzerinde doğrulanmış e-posta adresine sahip
De-An HuangStanford Universitycs.stanford.edu üzerinde doğrulanmış e-posta adresine sahip
Eric HeidenNVIDIAusc.edu üzerinde doğrulanmış e-posta adresine sahip
Kourosh DarvishScientist, University of Torontoutoronto.ca üzerinde doğrulanmış e-posta adresine sahip

Takip et

Animesh Garg

Georgia Institute of Technology, University of Toronto, Nvidia

gatech.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Robotic Manipulation Robot Learning Reinforcement Learning Machine Learning Computer Vision


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Progprompt: Generating situated robot task plans using large language models I Singh, V Blukis, A Mousavian, A Goyal, D Xu, J Tremblay, D Fox, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 11523 …, 2023	723	2023
Open X-Embodiment: Robotic learning datasets and RT-X models arXiv preprint arXiv:2310.08864, 2023	485*	2023
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	421	2019
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	293	2018
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	253	2020
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	250	2020
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	246	2018
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	233	2015
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	229	2016
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	220	2019
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	213	2017
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	190	2017
X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval S Krishna Gorti, N Vouitsis, J Ma, K Golestan, M Volkovs, A Garg, G Yu Conference on Computer Vision and Pattern Recognition (CVPR), 2022	188*	2022
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	174	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	165	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	162*	2017
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning C Bai, L Wang, Z Yang, Z Deng, A Garg, P Liu, Z Wang International Conference on Learning Representations (ICLR), 2022	161	2022
Conservative Safety Critics for Exploration H Bharadhwaj, A Kumar, N Rhinehart, S Levine, F Shkurti, A Garg International Conference on Learning Representations (ICLR), 2021	153	2021
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	143	2018
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	136	2019

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