The Toyota Research Institute (TRI) is building a new approach to mobility and pioneering the technologies that will drive its future.
TRI is applying artificial intelligence to help Toyota produce cars in the future that are safer, more accessible and more environmentally friendly. We are expanding artificial intelligence technology into new applications by strengthening and refining the interaction between human and machine.
A summary of Toyota’s work on automated driving, including the philosophy that guides its approach to the technology, its ongoing research programs, and its near-term product plans can be seen at automatedtoyota.com.
We are showing what is possible when the limits to mobility are changed. Our researchers are using artificial intelligence to benefit society and improve the human condition by creating a future where everyone has the freedom to move, engage, and explore.
TRI is translating Toyota’s expertise in products for outdoor mobility to create products for indoor mobility. We are developing robot technologies for those who most need it, especially older adults, by leveraging our advances in enhanced perception, mobility, manipulation, reasoning and cloud technologies. We seek to both replace mobility lost to aging and extend people's independence at home.
TRI is leveraging artificial intelligence advances artificial intelligence to expand the boundaries of discovering new materials that will result in smaller, lighter, more powerful and less costly advanced batteries and hydrogen fuel cells.
We are building tools and capabilities for designing new materials rapidly in the future in collaboration with several leading research institutions.
Artificial intelligence (AI) and machine learning (ML) are the foundation of TRI’s advanced technologies used in automated driving, robotics and materials discovery. We use deep learning models to improve the “3 P’s” — Perception, Prediction, Planning — of cars and robots by better understanding the world, anticipating how it might change and enabling decision making.