Ted Xiao
Ted Xiao
Senior Research Scientist, Google DeepMind
Verified email at - Homepage
Cited by
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Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, ...
arXiv preprint arXiv:2204.01691, 2022
Inner Monologue: Embodied Reasoning Through Planning with Language Models
W Huang, F Xia, T Xiao, H Chan, J Liang, P Florence, A Zeng, J Tompson, ...
arXiv preprint arXiv:2207.05608, 2022
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
Learning Latent Plans from Play
C Lynch, M Khansari, T Xiao, V Kumar, J Tompson, S Levine, P Sermanet
Conference on Robot Learning (CoRL), 2019, 1113-1132, 2019
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
A Brohan, N Brown, J Carbajal, Y Chebotar, X Chen, K Choromanski, ...
arXiv preprint arXiv:2307.15818, 2023
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Y Chebotar, K Hausman, Y Lu, T Xiao, D Kalashnikov, J Varley, A Irpan, ...
International Conference on Machine Learning (ICML), 2021, 2021
Goal-driven Dynamics Learning via Bayesian Optimization
S Bansal, R Calandra, T Xiao, S Levine, CJ Tomlin
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5168-5173, 2017
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
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
Jump-start Reinforcement Learning
I Uchendu, T Xiao, Y Lu, B Zhu, M Yan, J Simon, M Bennice, C Fu, C Ma, ...
International Conference on Machine Learning, 34556-34583, 2023
Open-world Object Manipulation Using Pre-trained Vision-Language Models
A Stone, T Xiao, Y Lu, K Gopalakrishnan, KH Lee, Q Vuong, P Wohlhart, ...
arXiv preprint arXiv:2303.00905, 2023
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
Scaling Robot Learning with Semantically Imagined Experience
T Yu, T Xiao, A Stone, J Tompson, A Brohan, S Wang, J Singh, C Tan, ...
arXiv preprint arXiv:2302.11550, 2023
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
Y Lu, K Hausman, Y Chebotar, M Yan, E Jang, A Herzog, T Xiao, A Irpan, ...
Conference on Robot Learning (CoRL), 2021, 1078-1088, 2021
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
T Xiao, H Chan, P Sermanet, A Wahid, A Brohan, K Hausman, S Levine, ...
arXiv preprint arXiv:2211.11736, 2022
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
T Xiao, E Jang, D Kalashnikov, S Levine, J Ibarz, K Hausman, A Herzog
International Conference on Learning Representations (ICLR), 2020, 2020
Physically grounded vision-language models for robotic manipulation
J Gao, B Sarkar, F Xia, T Xiao, J Wu, B Ichter, A Majumdar, D Sadigh
arXiv preprint arXiv:2309.02561, 2023
Octo: An open-source generalist robot policy
OM Team, D Ghosh, H Walke, K Pertsch, K Black, O Mees, S Dasari, ...
arXiv preprint arXiv:2405.12213, 2024
Value function spaces: Skill-centric state abstractions for long-horizon reasoning
D Shah, P Xu, Y Lu, T Xiao, A Toshev, S Levine, B Ichter
arXiv preprint arXiv:2111.03189, 2021
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
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