Tingnan Zhang

Citado por

	Total	Desde 2020
Citas	4415	3829
Índice h	27	26
Índice i10	41	39

1500

750

375

1125

201320142015201620172018201920202021202220232024202519 37 51 66 88 97 209 309 490 656 856 1419 95

Acceso público

Ver todo

6 artículos

0 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Daniel I. GoldmanProfessor of Physics, Georgia TechDirección de correo verificada de physics.gatech.edu
Jie TanGoogle DeepMindDirección de correo verificada de google.com
Atil IscenGoogleDirección de correo verificada de google.com
Chen LiMechanical Engineering, Laboratory for Computational Sensing & Robotics, Johns Hopkins UniversityDirección de correo verificada de jhu.edu
Feifei QianUniversity of Southern CaliforniaDirección de correo verificada de usc.edu
Vikas SindhwaniGoogle DeepMind RoboticsDirección de correo verificada de google.com
Vincent VanhouckeDistinguished Engineer, WaymoDirección de correo verificada de google.com
Howie ChosetProfessor of Robotics, Carnegie MellonDirección de correo verificada de cs.cmu.edu
Matthew TraversCarnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Ken CaluwaertsGoogle DeepMindDirección de correo verificada de caluwaerts.eu
Aaron HooverAssociate Professor of Mechanical Engineering, Olin College of EngineeringDirección de correo verificada de olin.edu
Paul BirkmeyerUniversity of California, BerkeleyDirección de correo verificada de eecs.berkeley.edu
Pierangelo MasaratiPolitecnico di MilanoDirección de correo verificada de polimi.it
Andrew PullinUniversity of California, BerkeleyDirección de correo verificada de berkeley.edu
Benjamin McInroeUniversity of Pennsylvania, University of California, BerkeleyDirección de correo verificada de berkeley.edu
Jeffrey AguilarHi Fidelity GeneticsDirección de correo verificada de hifidelitygenetics.com
Predrag CvitanovićSchool of Physics, Georgia TechDirección de correo verificada de physics.gatech.edu

Seguir

Tingnan Zhang

Google DeepMind

Dirección de correo verificada de google.com - Página principal

foundation models reinforcement learning robotics locomotion


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots J Tan, T Zhang, E Coumans, A Iscen, Y Bai, D Hafner, S Bohez, ... Robotics: Science and Systems, 2018	933	2018
Learning agile robotic locomotion skills by imitating animals XB Peng, E Coumans, T Zhang, TW Lee, J Tan, S Levine arXiv preprint arXiv:2004.00784, 2020	579	2020
A terradynamics of legged locomotion on granular media C Li, T Zhang, DI Goldman science 339 (6126), 1408-1412, 2013	519	2013
A review on locomotion robophysics: the study of movement at the intersection of robotics, soft matter and dynamical systems J Aguilar, T Zhang, F Qian, M Kingsbury, B McInroe, N Mazouchova, C Li, ... Reports on Progress in Physics 79 (11), 110001, 2016	286	2016
Language to rewards for robotic skill synthesis W Yu, N Gileadi, C Fu, S Kirmani, KH Lee, MG Arenas, HTL Chiang, ... arXiv preprint arXiv:2306.08647, 2023	255	2023
Data efficient reinforcement learning for legged robots Y Yang, K Caluwaerts, A Iscen, T Zhang, J Tan, V Sindhwani Conference on Robot Learning, 1-10, 2020	173	2020
The effectiveness of resistive force theory in granular locomotion T Zhang, DI Goldman Physics of Fluids 26 (10), 2014	149	2014
Policies modulating trajectory generators A Iscen, K Caluwaerts, J Tan, T Zhang, E Coumans, V Sindhwani, ... Conference on Robot Learning, 916-926, 2018	147	2018
Adversarial motion priors make good substitutes for complex reward functions A Escontrela, XB Peng, W Yu, T Zhang, A Iscen, K Goldberg, P Abbeel 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022	103	2022
Fast and efficient locomotion via learned gait transitions Y Yang, T Zhang, E Coumans, J Tan, B Boots Conference on robot learning, 773-783, 2022	98	2022
Visual-locomotion: Learning to walk on complex terrains with vision W Yu, D Jain, A Escontrela, A Iscen, P Xu, E Coumans, S Ha, J Tan, ... 5th Annual Conference on Robot Learning, 2021	85	2021
Pivot: Iterative visual prompting elicits actionable knowledge for vlms S Nasiriany, F Xia, W Yu, T Xiao, J Liang, I Dasgupta, A Xie, D Driess, ... arXiv preprint arXiv:2402.07872, 2024	77	2024
Simgan: Hybrid simulator identification for domain adaptation via adversarial reinforcement learning Y Jiang, T Zhang, D Ho, Y Bai, CK Liu, S Levine, J Tan 2021 IEEE International Conference on Robotics and Automation (ICRA), 2884-2890, 2021	76	2021
Principles of appendage design in robots and animals determining terradynamic performance on flowable ground F Qian, T Zhang, W Korff, PB Umbanhowar, RJ Full, DI Goldman Bioinspiration & biomimetics 10 (5), 056014, 2015	76	2015
Constrained decision transformer for offline safe reinforcement learning Z Liu, Z Guo, Y Yao, Z Cen, W Yu, T Zhang, D Zhao International Conference on Machine Learning, 21611-21630, 2023	65	2023
Modeling of the interaction of rigid wheels with dry granular media S Agarwal, C Senatore, T Zhang, M Kingsbury, K Iagnemma, DI Goldman, ... Journal of Terramechanics 85, 1-14, 2019	55	2019
Barkour: Benchmarking animal-level agility with quadruped robots K Caluwaerts, A Iscen, JC Kew, W Yu, T Zhang, D Freeman, KH Lee, ... arXiv preprint arXiv:2305.14654, 2023	50	2023
Ground fluidization promotes rapid running of a lightweight robot T Zhang, F Qian, C Li, P Masarati, AM Hoover, P Birkmeyer, A Pullin, ... The International Journal of Robotics Research 32 (7), 859-869, 2013	50	2013
Learning model predictive controllers with real-time attention for real-world navigation X Xiao, T Zhang, K Choromanski, E Lee, A Francis, J Varley, S Tu, ... arXiv preprint arXiv:2209.10780, 2022	49	2022
On the sample complexity of stability constrained imitation learning S Tu, A Robey, T Zhang, N Matni Learning for Dynamics and Control Conference, 180-191, 2022	47	2022

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores