News

Takayuki Shimizu, Hongsheng Lu, and Chinmay Mahabal, together with researchers of North Carolina State University, received the Best Student Paper Award at IEEE SPAWC 2023

Imaging radar progresses as TRINA scientists contribute optimization methods for planar array antenna structures.

TRINA scientist delivers webinar to more than 50 faculty members from the Indian Institute of Technology (IIT).

Prototyping soft robots using a design method based on Turing patterns. The research explores the emerging paradigm of programmed 3D shapes in additive manufacturing, which is receiving significant attention.

Data-driven design of miniature batteries is key to maximizing their performance. Miniature lithium-ion batteries (microbatteries) have been promising candidates for powering off-grid operations of internet-of-things (IoT) devices.

ANN ARBOR, MI In 2023, TRINA’s work in verification and control for autonomous systems has been prominently featured in top Cyber-Physical Systems and Robotics conferences such as ICRA, ACC, HSCC, and ICCPS, with six papers accepted. Our papers are complementary to publications of other research units in Toyota, tackling challenges that range from robot learning … Continued

ANN ARBOR, MI TRINA scientists achieved a breakthrough in catalyst search using a machine learning assisted method and published their work in the Journal of Energy Chemistry (impact factor: 13.6). Green hydrogen production via water electrolysis has emerged as an appealing solution to the growing energy crisis and environmental issues, and has been pursued as … Continued

ANN ARBOR, MI Toyota Research Institute of North America (TRINA) is dedicated to pioneering next-generation core technologies and groundbreaking applications for a sustainable mobility society. Over the past fifteen years, TRINA has diligently focused on three primary areas concerning the future of mobility, materials, and electronics. Each project is rooted in innovation, with a keen … Continued

DETROIT, Mich. TRINA scientists have published a method for the inverse design of hydrogen microreactor flow fields. The simulation-driven approach is summarized in a recent story from the multiphysics modeling community. The Electronic Research Department’s (ERD’s) hydrogen fuel cell flow field design optimization project was highlighted by the COMSOL multiphysics modeling community in a user … Continued

DETROIT, Mich. Unexpected field issues may soon be significantly reduced as TRINA scientists demonstrate ability to predict remaining useful life of electronics for electrified vehicles. TRINA scientists, in collaboration with researchers from the University of Connecticut (UCONN), have developed machine learning based prognostic algorithms to detect anomalies in electrified vehicle inverters and then predict the … Continued