The future of mobility promises to bring safety, convenience, and comfort to our lives.

TRI was created to strengthen Toyota’s global research structure with four initial mandates

Improve Vehicle Safety

We are providing the technology to build a car that is incapable of causing a crash, regardless of the skill or condition of the driver.


Increase Vehicle Access

We are developing automated driving technology to allow driverless cars, providing mobility for those who cannot drive including the elderly and individuals with special needs.


Expand Personal Independence

We are creating a platform and ecosystem for robots that can partner with humans and help with key tasks, allowing people to extend their independence.


Accelerate Scientific Discovery

We are using artificial intelligence to discover new methods for discovering advanced materials.

Research Areas

Automated Driving

Toyota views the relationship between a driver and the car as teammates working together to ensure a safe, comfortable, and fulfilling journey. TRI is applying this philosophy to automated driving by pursuing technology that makes vehicles safer and driving both more fun and convenient.

The three components of automated driving are perception, prediction and planning, and TRI is making significant advances in each area.

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TRI is developing two different automated driving modes in parallel – Guardian and Chauffeur – which gives drivers a choice. Guardian mode uses technology to constantly monitor the human’s driving task, intervening only when necessary to protect the vehicle from a potential crash. In Chauffeur mode, the technology takes all responsibility for driving and vehicle occupants are strictly passengers. The underlying technology for both modes is the same, and it further forges the collaboration between human and machine.

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See Our Recent Automated Driving News


Future mobility is not just about creating new ways to move people across town. The technology being developed will be applied to moving people and objects throughout the home.

Government estimates show a significant upswing in the elderly adult population in the United States and Japan over the coming decade, and TRI is developing service robots that will assist with in-home care. TRI is making breakthroughs in situational awareness and manipulation that will allow robots to detect, grasp and lift objects of all different shapes, like groceries, and put them away.

See Our Recent Robotics News

Artificial Intelligence

Artificial intelligence (AI) and machine learning (ML) are the backbone of TRI’s work in advancing technology. TRI is doing cutting edge research in deep learning for perception and prediction tasks towards enabling autonomous vehicles and robots at scale.

For automated vehicles, this allows the system to have greater situational awareness of the vehicle surroundings, detecting objects and roadways, and better predicting a safe driving route. TRI is developing machine learning algorithms leading to models that are faster, more efficient, and more robust.

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In robotics, TRI is applying computer vision and artificial intelligence, which allows robots to detect the physical presence of humans and objects, note their locations, and retrieve objects for humans when prompted. TRI is working towards an AI that can detect objects, track a person’s skeletal pose and eye gaze, is capable of depth and thermal perception, and can understand its surroundings in order to engage with humans and help keep them safe, and comfortable.

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See Our Recent AI News

Materials Discovery

TRI is applying AI to accelerate scientific discovery of advanced materials for future mobility. This approach enables TRI to reduce the investment time for new materials discovery by developing tools and processes that can help identify new advanced battery materials and fuel cell catalysts for use in future zero-emissions vehicles. We are collaborating with research entities, universities and companies on materials discovery research, investing approximately $35 million over the next four years.

See Our Recent Materials Discovery News

User Experience

As TRI advances technology for automated driving and human assist robots, special emphasis is being placed on the user experience (UX), which is the interaction between human and machine. When researching conceptual approaches, TRI follows a user-centric design model, a process that invites feedback from human users at every phase from initial idea to development.

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For automated vehicles, TRI is probing effective methods of transferring vehicle control between the human driver and the autonomous system in a range of challenging scenarios. In robotics, TRI is exploring methods for how robots engage with humans.

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See Our Recent UX News

Academic Collaborations

Courtesy of the University of Michigan
Collaborating with world-class universities to support research that advances TRI’s mission.
TRI is investing millions in research collaborations with MIT, Stanford, and the University of Michigan.
TRI is pleased to sponsor significant research projects at top universities in the United States and around the world, including major collaborations with MIT, Stanford and the University of Michigan.

These collaborative research agreements allow open-ended exploration in areas that are important to TRI’s mission, plus directed research focused on near-term contributions to key corporate goals.

Sponsored Projects Include: We are also working with several additional universities on research that uses artificial intelligence to help accelerate the design and discovery of advanced materials.

Together, we seek to advance the state of science and contribute to the research community, while enabling young researchers to realize their dream of completing a PhD degree.

TRI seeks to advance the state of science and contribute to the research community, while helping young researchers to realize their dream of completing a PhD degree.