Jason Stanley
Ph.D. Student at UCSD
I'm a Ph.D. student in the Department of Electrical and Computer Engineering
at UC San Diego.
I am interested in multi-agent SLAM and the development of intelligent coordination strategies that empower robot teams to collaboratively perceive, localize, and act in complex, real-world environments.
I'm working as a student researcher for the Existential Robotics Laboratory (ERL) advised by Professor Nikolay Atanasov.
I completed my Masters in Electrical Engineering with a specialty in Intelligent systems, robotics and control in early 2025, and completed my Bachelors Degree in Computer Engineering at UCSD in 2023.
- [Apr'25]: I've accepted a Ph.D. position at UCSD in the Department of Electrical and Computer Engineering!
- [Mar'25]: Our paper on Port-Hamiltonian Neural ODE Networks on Lie Groups for Robot Dynamics Learning and Control has been selected as an honorable mention for the IEEE Transactions on Robotics King-Sun Fu Memorial Best Paper Award.
- [Jan'25]: Leading a Project on Decentralized Safe Formation Flight with Online Model Learning.
- [Dec'24]: I attended the DCIST experiments at West Point Military Academy in New York to further our work in Semantic Mapping using ROAM and Kimera-Multi.
- [Jul'24]: Our paper on Port-Hamiltonian Neural ODE Networks on Lie Groups for Robot Dynamics Learning and Control has been accepted to IEEE Transactions on Robotics!
- [Jan'24]: Our paper on Hamiltonian Dynamics Learning from Observations has been accepted to ICRA'24.
- [Dec'23]: Graduated with my Bachelors Degree in Computer Engineering.
- [Sep'23]: We've submitted our paper on Hamiltonian Dynamics Learning from Observations to ICRA'24.
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control
Thai Duong, Abdullah Altawaitan, Jason Stanley, Nikolay Atanasov
Submitted to IEEE Transactions on Robotics (T-RO), 2024.
Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control
Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal, Thai Duong, Nikolay Atanasov
Accepted to IEEE International Conference on Robotics and Automation (ICRA), 2024.