Publications | Toyota Research Institute

Featured Publications

Large Behavior Models

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation

Large Behavior Models

Superfast Configuration-Space Convex Set Computation on GPUs for Online Motion Planning

Large Behavior Models

Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

All Publications

May 7, 2021

Automated Driving

Machine Learning

RAT iLQR: A Risk Auto‑Tuning Controller to Optimally Account for Stochastic Model Mismatch

May 7, 2021

Automated Driving

Machine Learning

Probabilistic 3D Multi‑Modal, Multi‑Object Tracking for Autonomous Driving

Apr 26, 2021

Energy & Materials

Machine learning with persistent homology and chemical word embeddings improves prediction accuracy and interpretability in metal-organic frameworks

Apr 1, 2021

Human Interactive Driving

Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features

Mar 16, 2021

Energy & Materials

Perspective—Combining Physics and Machine Learning to Predict Battery Lifetime

Dec 14, 2020

Robotics

Counter‑example guided synthesis of neural network Lyapunov functions for piecewise linear systems

Dec 1, 2020

Energy & Materials

Ionic Conduction through Reaction Products at the Electrolyte–Electrode Interface in All-Solid-State Li+ Batteries

Nov 10, 2020

Energy & Materials

High-Throughput Study of Lattice Thermal Conductivity in Binary Rocksalt and Zinc Blende Compounds Including Higher-Order Anharmonicity

Oct 25, 2020

Automated Driving

Machine Learning

PillarFlow: End‑to‑end Birds‑eye‑view Flow Estimation for Autonomous Driving

Oct 21, 2020

Energy & Materials

Predicting aqueous stability of solid with computed Pourbaix diagram using SCAN functional