about
Safety for Autonomous Systems using Control + Machine Learning @ REALM, MIT AeroAstro
Iβm Oswin So, a 3rd year grad student in REALM at MIT, advised by Chuchu Fan. Previously, I did my undergrad at Georgia Tech, where I was very fortunate to do undergraduate researcher with Evangelos Theodorou and Molei Tao.
Last summer, I interned at Toyota Research Institute where I worked on game theoretic planning. Previously, I worked at Aurora as a Behavior Planning Intern during the summer of 2021 under Paul Vernaza and Arun Venkatraman, working on cost function learning via on-policy negative examples for autonomous driving.
See my full CV here (updated October 2024).
Contact: oswinso [at] mit [dot] edu
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News
Oct 2024 |
Happy to announce that our paper solving optimal control problems with reach-avoid constraints using Deep RL has been accepted to NeurIPS 2024! Check out our project page! |
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Jul 2023 |
My first paper after joining MIT as a grad student on combining Deep RL and optimal control to synthesize safe, stabilizing controllers has been accepted to RSS 2023! Check out the project page for cool visualizations and videos. |
Jan 2022 |
Two of my recent works Multimodal Maximum Entropy Dynamic Games and Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM were recently submitted to RSS 2022 and are currently under review! Check them out. Also, Maximum Entropy Differential Dynamic Programming has just been accepted to ICRA 2022! |
Sep 2021 |
Check out our most recent work Maximum Entropy Differential Dynamic Programming currently under review for ICRA 2021! |
May 2021 |
Variational Inference MPC using Tsallis Divergence has been accepted to RSS 2021! |