Publications | Toyota Research Institute

Featured Publications

Large Behavior Models

ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping

Human Interactive Driving

Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing

Large Behavior Models

Score Distillation via Reparametrized DDIM

All Publications

Aug 6, 2021

Machine Learning

Geometric Unsupervised Domain Adaptation for Semantic Segmentation

Jul 30, 2021

Energy & Materials

DBgen: A Python Library for Defining Scalable, Maintainable, Accessible, Reconfigurable, Transparent (SMART) Data Pipelines (Preprint)

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