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Kyle Stachowicz
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2020 – today
- 2025
- [i11]Joshua Jones, Oier Mees, Carmelo Sferrazza, Kyle Stachowicz, Pieter Abbeel, Sergey Levine:
Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding. CoRR abs/2501.04693 (2025) - [i10]Karl Pertsch, Kyle Stachowicz, Brian Ichter, Danny Driess, Suraj Nair, Quan Vuong, Oier Mees, Chelsea Finn, Sergey Levine:
FAST: Efficient Action Tokenization for Vision-Language-Action Models. CoRR abs/2501.09747 (2025) - [i9]Physical Intelligence, Kevin Black, Noah Brown, James Darpinian, Karan Dhabalia, Danny Driess, Adnan Esmail, Michael Equi, Chelsea Finn, Niccolo Fusai, Manuel Y. Galliker, Dibya Ghosh, Lachy Groom, Karol Hausman, Brian Ichter, Szymon Jakubczak, Tim Jones, Liyiming Ke, Devin LeBlanc, Sergey Levine, Adrian Li-Bell, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Allen Z. Ren, Lucy Xiaoyang Shi, Laura M. Smith, Jost Tobias Springenberg, Kyle Stachowicz, James Tanner, Quan Vuong, Homer Walke, Anna Walling, Haohuan Wang, Lili Yu, Ury Zhilinsky:
π0.5: a Vision-Language-Action Model with Open-World Generalization. CoRR abs/2504.16054 (2025) - 2024
- [c7]Noriaki Hirose, Dhruv Shah, Kyle Stachowicz, Ajay Sridhar, Sergey Levine:
SELFI: Autonomous Self-Improvement with RL for Vision-Based Navigation around People. CoRL 2024: 97-116 - [c6]Kyle Stachowicz, Lydia Ignatova, Sergey Levine:
Lifelong Autonomous Improvement of Navigation Foundation Models in the Wild. CoRL 2024: 1035-1047 - [c5]Alejandro Escontrela, Justin Kerr, Kyle Stachowicz, Pieter Abbeel:
Learning Robotic Locomotion Affordances and Photorealistic Simulators from Human-Captured Data. CoRL 2024: 5434-5445 - [c4]Kyle Stachowicz, Sergey Levine:
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes. Robotics: Science and Systems 2024 - [i8]Noriaki Hirose, Dhruv Shah, Kyle Stachowicz, Ajay Sridhar, Sergey Levine:
SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation. CoRR abs/2403.00991 (2024) - [i7]Kyle Stachowicz, Sergey Levine:
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes. CoRR abs/2405.04714 (2024) - [i6]Hongbo Zhang, Zhongyu Li, Xuanqi Zeng, Laura M. Smith, Kyle Stachowicz, Dhruv Shah, Linzhu Yue, Zhitao Song, Weipeng Xia, Sergey Levine, Koushil Sreenath, Yun-hui Liu:
Traversability-Aware Legged Navigation by Learning from Real-World Visual Data. CoRR abs/2410.10621 (2024) - 2023
- [c3]Dhruv Shah, Ajay Sridhar, Nitish Dashora, Kyle Stachowicz, Kevin Black, Noriaki Hirose, Sergey Levine:
ViNT: A Foundation Model for Visual Navigation. CoRL 2023: 711-733 - [c2]Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine:
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing. CoRL 2023: 3100-3111 - [i5]Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine:
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing. CoRR abs/2304.09831 (2023) - [i4]Dhruv Shah, Ajay Sridhar, Nitish Dashora, Kyle Stachowicz, Kevin Black
, Noriaki Hirose, Sergey Levine:
ViNT: A Foundation Model for Visual Navigation. CoRR abs/2306.14846 (2023) - 2022
- [j1]Hassan Almubarak
Safety Embedded Differential Dynamic Programming Using Discrete Barrier States. IEEE Robotics Autom. Lett. 7(2): 2755-2762 (2022) - [c1]Kyle Stachowicz, Evangelos A. Theodorou:
Optimal-Horizon Model Predictive Control with Differential Dynamic Programming. ICRA 2022: 1440-1446 - [i3]Oswin So, Kyle Stachowicz, Evangelos A. Theodorou:
Multimodal Maximum Entropy Dynamic Games. CoRR abs/2201.12925 (2022) - 2021
- [i2]Hassan Almubarak, Kyle Stachowicz, Nader Sadegh, Evangelos A. Theodorou:
Safety Embedded Differential Dynamic Programming using Discrete Barrier States. CoRR abs/2105.14608 (2021) - [i1]Kyle Stachowicz, Evangelos A. Theodorou:
Optimal-Horizon Model-Predictive Control with Differential Dynamic Programming. CoRR abs/2111.09207 (2021)
Coauthor Index
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last updated on 2025-05-25 17:00 CEST by the dblp team
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