Stephen Tian
Zitiert von
Zitiert von
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation
M Lambeta, PW Chou, S Tian, B Yang, B Maloon, VR Most, D Stroud, ...
IEEE Robotics and Automation Letters 5 (3), 3838-3845, 2020
RoboNet: Large-Scale Multi-Robot Learning
S Dasari, F Ebert, S Tian, S Nair, B Bucher, K Schmeckpeper, S Singh, ...
arXiv preprint arXiv:1910.11215, 2019
Manipulation by feel: Touch-based control with deep predictive models
S Tian, F Ebert, D Jayaraman, M Mudigonda, C Finn, R Calandra, ...
2019 International Conference on Robotics and Automation (ICRA), 818-824, 2019
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
OmniTact: A Multi-Directional High-Resolution Touch Sensor
A Padmanabha, F Ebert, S Tian, R Calandra, C Finn, S Levine
2020 IEEE International Conference on Robotics and Automation (ICRA), 618-624, 2020
MaskViT: Masked Visual Pre-Training for Video Prediction
A Gupta, S Tian, Y Zhang, J Wu, R Martín-Martín, L Fei-Fei
arXiv preprint arXiv:2206.11894, 2022
A Workflow for Offline Model-Free Robotic Reinforcement Learning
A Kumar, A Singh, S Tian, C Finn, S Levine
arXiv preprint arXiv:2109.10813, 2021
Model-Based Visual Planning with Self-Supervised Functional Distances
S Tian, S Nair, F Ebert, S Dasari, B Eysenbach, C Finn, S Levine
International Conference on Learning Representations (ICLR), 2020
Learning predictive models from observation and interaction
K Schmeckpeper, A Xie, O Rybkin, S Tian, K Daniilidis, S Levine, C Finn
European Conference on Computer Vision, 708-725, 2020
Foundation Models in Robotics: Applications, Challenges, and the Future
R Firoozi, J Tucker, S Tian, A Majumdar, J Sun, W Liu, Y Zhu, S Song, ...
arXiv preprint arXiv:2312.07843, 2023
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
A Khazatsky, K Pertsch, S Nair, A Balakrishna, S Dasari, S Karamcheti, ...
arXiv preprint arXiv:2403.12945, 2024
Multi-Object Manipulation via Object-Centric Neural Scattering Functions
S Tian, Y Cai, HX Yu, S Zakharov, K Liu, A Gaidon, Y Li, J Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
A Control-Centric Benchmark for Video Prediction
S Tian, C Finn, J Wu
International Conference on Learning Representations (ICLR) 2023, 2022
Are These the Same Apple? Comparing Images Based on Object Intrinsics
K Kotar, S Tian, HX Yu, DLK Yamins, J Wu
NeurIPS 2023 Datasets and Benchmarks Track, 2023
Learning to Design and Use Tools for Robotic Manipulation
Z Liu, S Tian, M Guo, K Liu, J Wu
7th Annual Conference on Robot Learning, 2023
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing
B Ai, S Tian, H Shi, Y Wang, C Tan, Y Li, J Wu
arXiv preprint arXiv:2407.01418, 2024
Learning to Design 3D Printable Adaptations on Everyday Objects for Robot Manipulation
M Guo, Z Liu, S Tian, Z Xie, J Wu, CK Liu
International Conference on Robotics and Automation (ICRA), 2024
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