Kyle Stachowicz

According to our database, Kyle Stachowicz authored at least 20 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

π_0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities.

Physical Intelligence, Bo Ai, Ali Amin, Raichelle Aniceto, Ashwin Balakrishna, Greg Balke, Kevin Black, George Bokinsky, Shihao Cao, Thomas Charbonnier, Vedant Choudhary, Foster Collins, Ken Conley, Grace Connors, James Darpinian, Karan Dhabalia, Maitrayee Dhaka, Jared DiCarlo, Danny Driess, Michael Equi, Adnan Esmail, Yunhao Fang, Chelsea Finn, Catherine Glossop, Thomas Godden, Ivan Goryachev, Lachlan Groom, Haroun Habeeb, Hunter Hancock, Karol Hausman, Gashon Hussein, Victor Hwang, Brian Ichter, Connor Jacobsen, Szymon Jakubczak, Rowan Jen, Tim Jones, Gregg Kammerer, Ben Katz, Liyiming Ke, Mairbek Khadikov, Chandra Kuchi, Marinda Lamb, Devin LeBlanc, Brendon LeCount, Sergey Levine, Xinyu Li, Adrian Li-Bell, Vladislav Lialin, Zhonglin Liang, Wallace Lim, Yao Lu, Enyu Luo, Vishnu Mano, Nandan Marwaha, Aikys Mongush, Liam Murphy, Suraj Nair, Tyler Patterson, Karl Pertsch, Allen Z. Ren, Gavin Schelske, Charvi Sharma, Baifeng Shi, Lucy Xiaoyang Shi, Laura Smith, Jost Tobias Springenberg, Kyle Stachowicz, Will Stoeckle, Jiaming Tang, Jimmy Tanner, Shalom Tekeste, Marcel Torne, Kyle Vedder, Quan Vuong, Anna Walling, Haohuan Wang, Jason Wang, XuDong Wang, Chris Whalen, Samuel Whitmore, Blake Williams, Charles Xu, Sukwon Yoo, Lili Yu, Wuming Zhang, Zhuoyang Zhang, Ury Zhilinsky

CoRR, April, 2026

MEM: Multi-Scale Embodied Memory for Vision Language Action Models.

Marcel Torne, Karl Pertsch, Homer Walke, Kyle Vedder, Suraj Nair, Brian Ichter, Allen Z. Ren, Haohuan Wang, Jiaming Tang, Kyle Stachowicz, Karan Dhabalia, Michael Equi, Quan Vuong, Jost Tobias Springenberg, Sergey Levine, Chelsea Finn, Danny Driess

CoRR, March, 2026

Learning to Drive Anywhere With Model-Based Reannotation.

Noriaki Hirose, Lydia Ignatova, Kyle Stachowicz, Catherine Glossop, Sergey Levine, Dhruv Shah

IEEE Robotics Autom. Lett., February, 2026

SteerVLA: Steering Vision-Language-Action Models in Long-Tail Driving Scenarios.

Tian Gao, Celine Tan, Catherine Glossop, Timothy Gao, Jiankai Sun, Kyle Stachowicz, Shirley Wu, Oier Mees, Dorsa Sadigh, Sergey Levine, Chelsea Finn

CoRR, February, 2026

Traversability-Aware Legged Navigation by Learning From Real-World Visual Data.

Hongbo Zhang, Zhongyu Li, Xuanqi Zeng, Laura Smith, Kyle Stachowicz, Dhruv Shah, Linzhu Yue, Zhitao Song, Weipeng Xia, Sergey Levine, Koushil Sreenath, Yun-Hui Liu

IEEE Trans. Robotics, 2026

2025

π^*_0.6: a VLA That Learns From Experience.

Physical Intelligence, Ali Amin, Raichelle Aniceto, Ashwin Balakrishna, Kevin Black, Ken Conley, Grace Connors, James Darpinian, Karan Dhabalia, Jared DiCarlo, Danny Driess, Michael Equi, Adnan Esmail, Yunhao Fang, Chelsea Finn, Catherine Glossop, Thomas Godden, Ivan Goryachev, Lachy Groom, Hunter Hancock, Karol Hausman, Gashon Hussein, Brian Ichter, Szymon Jakubczak, Rowan Jen, Tim Jones, Ben Katz, Liyiming Ke, Chandra Kuchi, Marinda Lamb, Devin LeBlanc, Sergey Levine, Adrian Li-Bell, Yao Lu, Vishnu Mano, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Allen Z. Ren, Charvi Sharma, Lucy Xiaoyang Shi, Laura Smith, Jost Tobias Springenberg, Kyle Stachowicz, Will Stoeckle, Alex Swerdlow, James Tanner, Marcel Torne, Quan Vuong, Anna Walling, Haohuan Wang, Blake Williams, Sukwon Yoo, Lili Yu, Ury Zhilinsky, Zhiyuan Zhou

CoRR, November, 2025

π_0.5: a Vision-Language-Action Model with Open-World Generalization.

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 Smith, Jost Tobias Springenberg, Kyle Stachowicz, James Tanner, Quan Vuong, Homer Walke, Anna Walling, Haohuan Wang, Lili Yu, Ury Zhilinsky

CoRR, April, 2025

FAST: Efficient Action Tokenization for Vision-Language-Action Models.

Karl Pertsch, Kyle Stachowicz, Brian Ichter, Danny Driess, Suraj Nair, Quan Vuong, Oier Mees, Chelsea Finn, Sergey Levine

CoRR, January, 2025

Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding.

Joshua Jones, Oier Mees, Carmelo Sferrazza, Kyle Stachowicz, Pieter Abbeel, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Traversability-Aware Legged Navigation by Learning from Real-World Visual Data.

Hongbo Zhang, Zhongyu Li, Xuanqi Zeng, Laura Smith, Kyle Stachowicz, Dhruv Shah, Linzhu Yue, Zhitao Song, Weipeng Xia, Sergey Levine, Koushil Sreenath, Yun-hui Liu

CoRR, 2024

SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation.

Noriaki Hirose, Dhruv Shah, Kyle Stachowicz, Ajay Sridhar, Sergey Levine

CoRR, 2024

RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes.

Kyle Stachowicz, Sergey Levine

Proceedings of the Robotics: Science and Systems XX, 2024

Lifelong Autonomous Improvement of Navigation Foundation Models in the Wild.

Kyle Stachowicz, Lydia Ignatova, Sergey Levine

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

SELFI: Autonomous Self-Improvement with RL for Vision-Based Navigation around People.

Noriaki Hirose, Dhruv Shah, Kyle Stachowicz, Ajay Sridhar, Sergey Levine

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Learning Robotic Locomotion Affordances and Photorealistic Simulators from Human-Captured Data.

Alejandro Escontrela, Justin Kerr, Kyle Stachowicz, Pieter Abbeel

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing.

Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

ViNT: A Foundation Model for Visual Navigation.

Dhruv Shah, Ajay Sridhar, Nitish Dashora, Kyle Stachowicz, Kevin Black, Noriaki Hirose, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

2022

Safety Embedded Differential Dynamic Programming Using Discrete Barrier States.

Hassan Almubarak, Kyle Stachowicz, Nader Sadegh, Evangelos A. Theodorou

IEEE Robotics Autom. Lett., 2022

Multimodal Maximum Entropy Dynamic Games.

Oswin So, Kyle Stachowicz, Evangelos A. Theodorou

CoRR, 2022

Optimal-Horizon Model Predictive Control with Differential Dynamic Programming.

Kyle Stachowicz, Evangelos A. Theodorou

Proceedings of the 2022 International Conference on Robotics and Automation, 2022