Jacob J. Johnson
ARClab UCSD
Atkinson Hall
I am a Ph.D. candidate at the University of California San Diego, a member of the Advanced Robotics and Controls Lab (ARClab) working under Dr. Michael Yip. In my research, I study how we can leverage data to improve robot planning and control. My research interests include motion planning in uncertainty, transformers, reinforcement learning.
In my free time, I enjoy playing soccer, swimming, and hiking. I also contribute to open-source ROS libraries.
If you are interested in working at ARClab, please send an email to Dr.Yip with your CV and a short description of your interests. We have different projects to develop your skills in ROS, machine learning tools, and robot system development.
news
| 2023 | Our paper Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning with Transformers has been accepted to RA-L. |
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| 2023 | Our recent work on Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries is available online. |
| 2023 | Our paper Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning with Transformers is available online. Visit website for more details. |
| 2023 | Our paper Object-centric Representations for Interactive Online Learning with Non-Parametric Methods has been accepted to CASE ‘23. |
| 2022 | Our paper Motion Planning Transformers: A Motion Planning Framework for Mobile Robots is available online. |
| 2022 | I have successfully passed my Ph.D. candidacy exam. |
| 2022 | Our paper Motion Planning Transformers: One Model to Plan them All is available online. |