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

Feb 2, 2020

Energy & Materials

Random Forest Machine Learning Models for Interpretable X‑Ray Absorption Near‑Edge Structure Spectrum‑Property Relationships

Jan 29, 2020

Energy & Materials

Benchmarking the acceleration of materials discovery by sequential learning

Jan 1, 2020

Energy & Materials

BEEP: A Python library for Battery Evaluation and Early Prediction

Dec 23, 2019

Energy & Materials

The Materials Research Platform: Defining the Requirements from User Stories

Aug 31, 2019

Energy & Materials

Efficient Pourbaix diagrams of many‑element compounds

Aug 5, 2019

Energy & Materials

Relationship between mechanical strain and chemical composition in LiFePO4 via 4D-scanning transmission electron microscopy and scanning transmission X-ray microscopy

Aug 5, 2019

Energy & Materials

py4DSTEM: Open Source Software for 4D-STEM Data Analysis

May 1, 2019

Energy & Materials

Network analysis of synthesizable materials discovery

Apr 24, 2019

Energy & Materials

CRYSTAL: a multi‑agent AI system for automated mapping of materials' crystal structures

Apr 10, 2019

Energy & Materials

Genetic algorithms for computational materials discovery accelerated by machine learning