Thomas Lew (@thomas__lew) profile picture

Thomas Lew

@thomas__lew

Research Scientist at @ToyotaResearch. Optimal Control, Machine Learning, Robotics. PhD @Stanford. Previously intern at @Google, @NASAJPL.

thomasjlew.github.io/
Joined March 2020
  • Tweets37
  • Following197
  • Followers224
10Media
Photo by Thomas Lew (@thomas__lew)Photo by Thomas Lew (@thomas__lew)Photo by Thomas Lew (@thomas__lew)Photo by Thomas Lew (@thomas__lew)Photo by Thomas Lew (@thomas__lew)Photo by Thomas Lew (@thomas__lew)Photo by Thomas Lew (@thomas__lew)Photo by Thomas Lew (@thomas__lew)Photo by Thomas Lew (@thomas__lew)Photo by Thomas Lew (@thomas__lew)
DiffMPC has been accepted to #ICLR2026! DiffMPC is a #GPU-accelerated #differentiable solver for model predictive control. It better leverages parallelism, runs faster than previous solvers, supports scalable learning with MPC, and is implemented in JAX 📃 arxiv.org/abs/2510.06179
Image from Thomas Lew (@thomas__lew)
1
4
212
more replies
💻 DiffMPC code: github.com/ToyotaResearchIns…
1
43
👏This work was led by Emre Adabag, who did excellent work as an intern on our team at TRI last summer.
46
Our team at TRI is hiring research interns for the summer of 2026! An exciting opportunity to advance the state of the art in decision-making, learning, and perception and to deploy models and algorithms on high-performance cars. jobs.lever.co/tri/eef0e312-6… jobs.lever.co/tri/10f05961-0…
91
TRI's latest Large Behavior Model (LBM) paper landed on arxiv last night! Check out our project website: toyotaresearchinstitute.gith… One of our main goals for this paper was to put out a very careful and thorough study on the topic to help people understand the state of the technology, and to share a lot of details for how we're achieving it. youtube.com/watch?v=BEXFnru5…
8
107
21
491
90,036
I'm excited to share new optimality conditions for nonlinear stochastic optimal control, and the first indirect shooting method for solving these problems! 📖 arxiv.org/abs/2502.06726 💡 How? Using rough path theory ⬇️
2
3
20
2,088
more replies
3/4) As an application, we propose the first indirect shooting method for nonlinear stochastic optimal control: It converges much faster than a direct method on a regulation task. Why? Because it only searches over the initial conditions of the adjoint vector 💡
Image from Thomas Lew (@thomas__lew)
1
135
4/4) This work combines known pathwise approaches to SDEs from the mathematics & machine learning communities and ideas from indirect optimal control. We use proof techniques developed by Pontryagin and recent integrability results on rough paths (Cass, Friz, et al. ~2013).
111
Our team at TRI is hiring a research intern for the summer of 2025! An exciting opportunity to pursue research at the intersection of perception and control, and to deploy models and algorithms on high-performance cars jobs.lever.co/tri/64226236-4…
3
13
976
Considering or just starting a PhD in robotics, optimization, ML, or control? If so, you may find this interview interesting: ieeexplore.ieee.org/abstract… Thanks again to Rodolphe Sepulchre for the invitation! @IEEEorg @CSSIEEE
6
16
1,678
Presenting our risk-averse trajectory optimization work at #ICRA2024 on Wednesday at 2.45pm in AX-206. Come have a chat about planning under uncertainty and optimization! 📖 arxiv.org/abs/2307.03167
5
339
Our team at TRI is hiring a research intern for this summer! An exciting opportunity to pursue research on machine learning and control and deploy models and algorithms on high-performance cars jobs.lever.co/tri/ab8a4367-0…
2
4
42
4,327
I'm excited to share that we just received two outstanding paper awards at @IEEECDC2023 !
3
26
2,080
more replies
and the Control Systems Magazine Outstanding Paper Award for "Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently" arxiv.org/abs/2106.09125 with R. Bonalli, @drmapavone, and collaborators at UW
1
4
428
Thank you to all my amazing collaborators!
2
281
Load more