Thomas Lew

Presenting our robotic table wiping work today at 3pm, Pod 15 at #ICRA2023 ➡️ Come have a chat about reinforcement learning, trajectory optimization, and stochastic dynamics modeling

TRI's latest Large Behavior Model (LBM) paper landed on arxiv last night! Check out our project website: toyotaresearchinstitute.github.io/lbm1/ 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…

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…

Considering or just starting a PhD in robotics, optimization, ML, or control? If so, you may find this interview interesting: ieeexplore.ieee.org/abstract/docum… Thanks again to Rodolphe Sepulchre for the invitation! @IEEEorg @CSSIEEE

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

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…

📢 Announcing the first @corl_conf workshop on Out-of-Distribution Generalization in Robotics: Towards Reliable Learning-based Autonomy! #CoRL2023 🎯 How can we build reliable robotic autonomy for the real world? 📅 Short papers due 10/6/23 🌐 tinyurl.com/corl23ood 🧵(1/4)

Read how we enabled a robot to reliably wipe up crumbs and spills with an approach for robotics applications in complex environments that uses an #RL policy (trained with a stochastic differential equation simulator) followed by a trajectory optimizer. → goo.gle/3Mn5lQV