Seuraa
Ryan C. Julian
Ryan C. Julian
Google DeepMind
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
1071*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
9002020
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
4052022
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
302*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
2862016
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
132*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
89*2020
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
89*2012
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
772023
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
332013
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, ...
20*2018
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
142023
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
112020
Method for synchronizing operation of systems
RC Julian, HE Hongyuan, DS Holz
US Patent 9,348,419, 2016
112016
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
62020
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
52024
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
32021
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
32018
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
22022
Conditionally Combining Robot Skills using Large Language Models
KR Zentner, R Julian, B Ichter, GS Sukhatme
arXiv preprint arXiv:2310.17019, 2023
2023
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Artikkelit 1–20