Publications | Toyota Research Institute

Featured Publications

Large Behavior Models

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation

Large Behavior Models

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

Large Behavior Models

Proximity and Visuotactile Point Cloud Fusion for Contact Patches in Extreme Deformation

All Publications

Jul 21, 2021

Energy & Materials

Automated Adsorption Workflow for Semiconductor Surfaces and the Application to Zinc Telluride

Jul 1, 2021

Human Interactive Driving

CARPAL: Confidence‑Aware Intent Recognition for Parallel Autonomy

Jun 11, 2021

Energy & Materials

Rational Solid-State Synthesis Routes for Inorganic Materials

May 21, 2021

Energy & Materials

Origins of the Instability of Nonprecious Hydrogen Evolution Reaction Catalysts at Open-Circuit Potential

May 21, 2021

Energy & Materials

py4DSTEM: A Software Package for Four-Dimensional Scanning Transmission Electron Microscopy Data Analysis

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