Ryan C. Julian

Alıntı yapanlar

	Hepsi	2020 yılından bugüne
Alıntılar	6500	6319
h-endeksi	15	13
i10-endeksi	16	15

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Genel erişim

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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Karol HausmanPhysical Intelligence, Stanfordphysicalintelligence.company üzerinde doğrulanmış e-posta adresine sahip
Zhanpeng HeColumbia Universitycs.columbia.edu üzerinde doğrulanmış e-posta adresine sahip
Chelsea FinnStanford University, Physical Intelligencecs.stanford.edu üzerinde doğrulanmış e-posta adresine sahip
Sergey LevineUC Berkeley, Physical Intelligenceeecs.berkeley.edu üzerinde doğrulanmış e-posta adresine sahip
Gaurav SukhatmeProfessor, Departments of CS and ECE, USCusc.edu üzerinde doğrulanmış e-posta adresine sahip
Joseph J. LimAssociate Professor at KAISTcsail.mit.edu üzerinde doğrulanmış e-posta adresine sahip
Tianhe YuGoogle DeepMindgoogle.com üzerinde doğrulanmış e-posta adresine sahip
Deirdre QuillenUC Berkeleyberkeley.edu üzerinde doğrulanmış e-posta adresine sahip
Eric HeidenNVIDIAusc.edu üzerinde doğrulanmış e-posta adresine sahip
Benjamin EysenbachPrinceton Universityprinceton.edu üzerinde doğrulanmış e-posta adresine sahip
Yevgen ChebotarRobot AI at Figurefigure.ai üzerinde doğrulanmış e-posta adresine sahip
Ted XiaoSenior Research Scientist, Google DeepMindgoogle.com üzerinde doğrulanmış e-posta adresine sahip
Jacob VarleyRobotics at Google DeepMindgoogle.com üzerinde doğrulanmış e-posta adresine sahip
Dmitry KalashnikovGooglegoogle.com üzerinde doğrulanmış e-posta adresine sahip
Ronald S. FEARINGProfessor of EECS, UC Berkeleyberkeley.edu üzerinde doğrulanmış e-posta adresine sahip
Stefan SchaalRobotics, Machine Learning, AI, Neurosciencegoogle.com üzerinde doğrulanmış e-posta adresine sahip
Yao LuNvidianvidia.com üzerinde doğrulanmış e-posta adresine sahip
Pieter AbbeelUC Berkeley | Covariantcs.berkeley.edu üzerinde doğrulanmış e-posta adresine sahip
Duncan HaldaneJITX, University of California at Berkeleyberkeley.edu üzerinde doğrulanmış e-posta adresine sahip
K.R. ZentnerPhD Student, University of Southern Californiausc.edu üzerinde doğrulanmış e-posta adresine sahip

Takip et

Ryan C. Julian

Google DeepMind

google.com üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Robotics Machine Learning Imitation Learning Reinforcement Learning


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances A Brohan, Y Chebotar, C Finn, K Hausman, A Herzog, D Ho, J Ibarz, ... Conference on Robot Learning, 287-318, 2023	1960*	2023
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning T Yu, D Quillen, Z He, R Julian, K Hausman, C Finn, S Levine Conference on Robot Learning, 1094-1100, 2020	1235	2020
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control B Zitkovich, T Yu, S Xu, P Xu, T Xiao, F Xia, J Wu, P Wohlhart, S Welker, ... Conference on Robot Learning, 2165-2183, 2023	996*	2023
RT-1: Robotics Transformer for Real-World Control at Scale A Brohan, N Brown, J Carbajal, Y Chebotar, J Dabis, C Finn, ... arXiv preprint arXiv:2212.06817, 2022	933	2022
Open X-Embodiment: Robotic Learning Datasets and RT-X Models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023	392*	2023
Dynamic, free-space user interactions for machine control R Bedikian, J Marsden, K Mertens, D Holz, M Sills, M Perez, GA Hare, ... US Patent 9,459,697, 2016	321	2016
Actionable Models: Unsupervised Offline Learning of Robotic Skills A Irpan, B Eysenbach, C Finn, D Kalashnikov, J Varley, K Hausman, ... International Conference on Machine Learning, 2021	166*	2021
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning R Julian, B Swanson, GS Sukhatme, S Levine, C Finn, K Hausman Conference on Robot Learning, 2020	124*	2020
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration⁰ A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024	106	2024
Performance Analysis and Terrain Classification for a Legged Robot over Rough Terrain FL Garcia Bermudez, RC Julian, DW Haldane, P Abbeel, RS Fearing Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International …, 2012	93*	2012
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents M Ahn, D Dwibedi, C Finn, MG Arenas, K Gopalakrishnan, K Hausman, ... arXiv preprint arXiv:2401.12963, 2024	41	2024
Cooperative Control and Modeling for Narrow Passage Traversal with an Ornithopter MAV and Lightweight Ground Station RC Julian, CJ Rose, H Hu, RS Fearing Proceedings of the 2013 international conference on Autonomous agents and …, 2013	36	2013
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators A Herzog, K Rao, K Hausman, Y Lu, P Wohlhart, M Yan, J Lin, MG Arenas, ... arXiv preprint arXiv:2305.03270, 2023	26	2023
Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing Z He, R Julian, E Heiden, H Zhang, JJ Lim, S Schaal, G Sukhatme, ...	21*	2018
Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills R Julian, E Heiden, Z He, H Zhang, S Schaal, J Lim, G Sukhatme, ... Proceedings of the 2018 International Symposium on Experimental Robotics …, 2020	15	2020
Method for synchronizing operation of systems RC Julian, HE Hongyuan, DS Holz US Patent 9,348,419, 2016	13	2016
Scaling Simulation-to-Real Transfer by Learning a Latent Space of Robot Skills RC Julian, E Heiden, Z He, H Zhang, S Schaal, JJ Lim, GS Sukhatme, ... The International Journal of Robotics Research 39 (10-11), 1259-1278, 2020	6	2020
Efficient Multi-Task Learning via Iterated Single-Task Transfer KR Zentner, U Puri, Y Zhang, R Julian, GS Sukhatme 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022	5	2022
A Simple Approach to Continual Learning by Transferring Skill Parameters KR Zentner, R Julian, U Puri, Y Zhang, GS Sukhatme arXiv preprint arXiv:2110.10255, 2021	4	2021
Auto-Conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation H Zhang, E Heiden, R Julian, Z He, JJ Lim, GS Sukhatme arXiv preprint arXiv:1810.00146, 2018	3	2018

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