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Toyota Research Institute

Advancing mobility through safety, automation, robotics

Overview

Toyota Research Institute conducts research in automated driving, robotics, and materials science to improve vehicle safety and sustainability. The company develops software and hardware systems that use machine learning to predict human behavior and assist drivers, while also discovering new materials for zero-emission energy. Unlike many research labs, it bridges the gap between academic discovery and real-world automotive manufacturing by licensing its findings directly for use in Toyota’s global product line. Its goal is to enhance human capability and safety through technology that makes transportation more accessible and environmentally friendly.

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About Toyota Research Institute

Simplify's Rating
Why Toyota Research Institute is rated
B
Rated A on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsRobotics & AutomationAutomotive & TransportationAI & Machine Learning

Company Size

201-500

Company Stage

Seed

Total Funding

$100M

Headquarters

Los Altos, California

Founded

2016

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Simplify's Take

What believers are saying

  • ChargeMinder lifted U.S. PHEV charging 10% and Japan solar-hour charging 59%.
  • TRI launched Human-AI Kaizen on September 15, 2026 with 194 proposals.
  • SceneSmith and Interactive World Simulator reduce robot training cost and real-world data dependence.

What critics are saying

  • Toyota's 400,000-robot plan bets on productionization starting in 2028.
  • Hyundai-owned Boston Dynamics now advances Atlas with Google DeepMind, intensifying TRI competition.
  • If ELEY and LBMs miss factory reliability, Toyota's robotics thesis collapses.

What makes Toyota Research Institute unique

  • TRI pairs Toyota factory data with MIT-grade robotics and AI research.
  • Russ Tedrake's diffusion-policy Large Behavior Models anchor TRI's robotics stack.
  • University Research Program 3.0 spans 31 universities, widening TRI's talent and idea pipeline.

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Funding

Total Funding

$100M

Above

Industry Average

Funded Over

0 Rounds

Benefits

  • Highly competitive benefits package
  • Robust programs to support the wellbeing, happiness, and health of our people and their families.
  • 401(k) plan including matching and annual profit sharing along with total vacation and holidays totaling 38 days per year.
  • Subsidized commuter benefits and generous employee and vehicle allowances
  • 2 paid days per year to participate in volunteer activities.
  • Maternity Leave program with 10 paid weeks plus baby bonding leave and Milk Stork for traveling moms
  • Baby Bonding Leave–an additional 16 paid weeks–to all new parents, including those who choose to adopt.
  • Back-up child and adult / elder care programs to help everyone thrive
  • WellBeats Virtual Fitness Trainer.

Company News

Yahoo
Sep 28th, 2026
Toyota has A fix for forgetful drivers who never Plug In their hybrids.

Toyota has A fix for forgetful drivers who never Plug In their hybrids. Travis Langness Mon, September 28, 2026 at 1:45 PM PDT Even if you don't charge a plug-in hybrid, it will still run on gasoline alone. That's part of the appeal of vehicles like Toyota's astonishingly efficient Prius Plug-In or the more spacious RAV4 Plug-In. Even after it's run out of electricity, the Prius Plug-In is capable of returning up to 52 mpg combined, while the RAV4 Plug-In hybrid is rated for 38 mpg combined running on gasoline alone. On a long road trip? Far away from your home charging solution? No problem. Put some gas in the tank and you'll still get impressive fuel economy as you motor along. That said, the real advantage of plug-in hybrid vehicles is, of course, in using both electricity and gas, but you can't benefit from that if you forget to plug in regularly. Toyota has tried to rectify that via a new app called ChargeMinder, designed to change owners' charging behavior. The app was part of a research project that studied how behavioral interventions could get owners to charge their EVs more often and at optimal times of day, like when renewable energy is at its peak. The app sent push notifications to users to encourage charging at certain times based on their locations and the time. Owners also received positive encouragement via celebratory messages once they did, with graphs that tracked their charging streaks. Know anyone who's been maintaining a long Duolingo streak while learning a language? This app would probably appeal to them. Did ChargeMinder have any effect? To see if charging reminders and positive reinforcement would work on EV owners, the Toyota Research Institute (TRI) conducted a couple of studies. They paid research participants to download and use the ChargeMinder app in conjunction with their electric vehicles (from 12 different brands, not just Toyota), resulting in some serious changes in charging behavior. In the United States, PHEV-driving app users increased their charging by 10%, which also brought an uptick in satisfaction. Basically, the more the users charged their cars, the better they felt driving them. TRI didn't explicitly reveal why owners' satisfaction increased, but it's not hard to imagine that plug-in hybrid owners enjoyed the extra fuel economy and the additional power provided by a fully-charged battery. TRI also tested a version of the app in Japan. There, the PHEV and BEV-owning participants were encouraged to charge during peak solar hours - a greener strategy that could also save you money when charging your EV. The result was that drivers shifted their charging times toward these hours by 59%. Toyota says that its goal with plug-in hybrids is to reduce emissions; charging during the day, when the sun is doing most of the work in countries that use solar power, is certainly a step in that direction. The ChargeMinder app is not currently available publicly, but it may become part of Toyota's EV plans.

Rocking Robots
Sep 21st, 2026
Toyota outlines plans for 400,000 robots in global factory automation push.

Toyota outlines plans for 400,000 robots in global factory automation push. Toyota is considering a major expansion of robotics across its global manufacturing operations, with an estimated requirement for approximately 400,000 robots. The initiative would involve both new installations and the replacement of existing equipment, including conventional industrial robots and newer humanoid systems. The Japanese automaker is also developing robots capable of learning manufacturing tasks from human demonstrations, with the aim of transferring those skills between factories. The plans point to a substantial investment in factory automation. Toyota estimates that modernising its manufacturing operations could require annual expenditure of around ¥1 trillion from 2028. However, the company has not made a definitive commitment to that level of spending or established how long the investment programme would continue. Factory modernisation and physical AI. The proposed programme covers Toyota, its group companies and major suppliers. The company intends to modernise approximately 60 factories worldwide and upgrade a robotics fleet comprising around 150,000 units at Toyota and group companies and another 250,000 at suppliers. The investments would cover factory infrastructure as well as robotics and other automation technologies. The 400,000 figure does not represent a confirmed order for humanoid robots. Although some reports have described the initiative in those terms, the total includes both humanoid and non-humanoid systems, as well as replacements for existing machinery and new installations. Toyota has not disclosed how many humanoids it ultimately intends to deploy. Toyota's plans also extend beyond installing additional machines. The company wants to connect factories, production equipment and robots through a shared digital infrastructure, enabling production data and robot capabilities to be exchanged across its manufacturing network. It refers to this approach as Factory Automation 3.0. ELEY demonstrates learning from human workers. One of the technologies Toyota is developing for this transition is ELEY, a robot designed to learn physical tasks from human demonstrations. Developed using large behaviour models from the Toyota Research Institute, ELEY is intended to acquire manipulation skills that can subsequently be performed autonomously. Unlike bipedal humanoid robots, ELEY moves on wheels. It weighs approximately 50 kilograms and has two arms equipped with two-fingered grippers. Its potential applications include handling components and performing manipulation tasks that require more flexibility than conventional industrial automation. During a recent technology demonstration in Europe, Toyota showed ELEY folding a T-shirt after learning the task from human demonstrations. According to Japanese media reports, the robot underwent approximately 1,500 training repetitions over two weeks before performing the task autonomously. The demonstration illustrated its learning capabilities rather than a production-ready automotive assembly application. Toyota aims to use its manufacturing network to collect training data from experienced workers. The company has approximately 18,000 skilled production specialists, known as takumi, whose knowledge could contribute to teaching robots complex manufacturing operations. Skills acquired at one location could eventually be shared with robots at other factories. Robots working alongside people. Toyota is positioning the initiative as a way to address labour shortages, modernise ageing production facilities and improve manufacturing productivity. Rather than focusing exclusively on replacing human workers, the company is developing systems that can operate alongside employees and potentially assist in training new staff. Its broader robotics strategy combines physical AI with the Toyota Production System, which emphasises continuous improvement and the reduction of waste. By connecting robot learning with production data, Toyota wants to make automation more adaptable to different manufacturing tasks. The company has already begun testing robotics applications for parts transportation and picking. Toyota has identified these factory applications as demonstration projects and outlined plans to expand robotics into activities outside automotive manufacturing, including medical equipment transportation. Automakers expand robotics programmes. Toyota's plans come as other automotive manufacturers increase their investments in robotics and physical AI. Hyundai, which owns Boston Dynamics, has announced plans to introduce humanoid robots at its manufacturing operations in Georgia, United States, beginning in 2028. The automotive sector is increasingly exploring how robots capable of learning and adapting to different tasks could complement existing industrial automation systems. For Toyota, the proposed programme would combine conventional factory upgrades with the introduction of more adaptable robots. Its existing manufacturing infrastructure and production workforce would provide an environment for collecting data and developing robot capabilities. The company has not yet confirmed a final investment commitment, a deployment timetable for all 400,000 robots or the proportion that will use humanoid designs. The figure should therefore be understood as an estimated requirement for a broader factory modernisation programme rather than a confirmed humanoid robot order.

Electronics For You
Jul 15th, 2026
AI-generated virtual worlds accelerate robot training and development.

AI-generated virtual worlds accelerate robot training and development. July 15, 2026 Researchers have developed an AI-driven system that creates realistic virtual environments, enabling robots to practice complex tasks more efficiently before real-world deployment and testing. Researchers at the Massachusetts Institute of Technology (MIT) and the Toyota Research Institute have developed SceneSmith, an AI-powered framework that automatically generates realistic virtual environments for training robots. The system aims to reduce the time, cost and effort required to collect real-world training data while improving robots' ability to perform everyday tasks. Robots typically learn through repeated physical interactions, making the training process labour-intensive and expensive. SceneSmith addresses this challenge by creating detailed 3D indoor environments where robots can safely practise activities before operating in real-world settings. The framework relies on three AI agents working together throughout the design process. A "designer" creates the initial scene, a "critic" evaluates its realism and practicality, and an "orchestrator" manages revisions until the virtual environment meets the required standard. Once complete, the scenes are imported into physics simulation software that accurately models properties such as mass, friction and inertia. According to the researchers, the system generated more than 1,300 unique indoor environments, including homes, offices and commercial spaces. Compared with previous scene-generation methods, the environments contained significantly more objects and interactive elements, enabling robots to practise tasks such as opening cupboards, placing items on shelves and moving objects between rooms. The researchers also evaluated robot policies within these simulated environments before deployment. Human reviewers agreed with the AI system's assessments more than 99 per cent of the time, helping identify unsuitable strategies before physical testing began. Additional experiments showed that robots could interact with cabinets, bottles and other movable objects while maintaining realistic physical behaviour. User studies involving more than 200 participants found that the generated environments appeared realistic in over 90 per cent of cases and followed text prompts more accurately than earlier approaches. The researchers believe the technology could accelerate robotics development by providing scalable, diverse and highly realistic virtual training grounds while reducing dependence on costly real-world data collection.

WTWH Media LLC
Mar 24th, 2026
Russ Tedrake to unveil stealth AI startup at Robotics Summit.

Russ Tedrake to unveil stealth AI startup at Robotics Summit. Artificial intelligence has been dominating conversations at every technology event for the past few years, and the robotics industry continues to look for ways to apply the technology to robots. At the Robotics Summit & Expo, Russ Tedrake, a professor at MIT and former senior vice president of large behavior models (LBMs) at the Toyota Research Institute, will unveil his new stealth AI startup focused on deploying LBMs for robotics. Drawing on his deep experience in robotics and AI, Tedrake will share his vision for how physical AI can unlock more capable, adaptable robots across industries. The keynote, "Building Large Behavior Models for Industry," will examine the motivations behind the technology, early breakthroughs, and the potential impact of LBMs on next-generation robots. More about Russ Tedrake. Tedrake is the Toyota Professor of Electrical Engineering and Computer Science, Aeronautics and Astronautics, and Mechanical Engineering at MIT, the director of the Center for Robotics at the Computer Science and Artificial Intelligence Lab (MIT CSAIL), and the leader of Team MIT's entry in the DARPA Robotics Challenge. His research is focused on finding elegant control solutions for interesting - under-actuated, stochastic, or difficult-to-model - dynamical systems that he can build and experiment with. Tedrake is particularly interested in finding connections between mechanics, especially non-smooth mechanics, and machine learning or optimization theory, which enable robust control design for complex mechanical systems. Tedrake is a recipient of the 2021 Jamieson Teaching Award, the NSF CAREER Award, the MIT Jerome Saltzer Award for undergraduate teaching, the DARPA Young Faculty Award in Mathematics, and the 2012 Ruth and Joel Spira Teaching Award. He has also been named a Microsoft Research New Faculty Fellow. Registration is now open for the Robotics Summit & Expo, the world's leading technical event for commercial robotics developers. The event is produced by The Robot Report and parent company WTWH Media. The show will have more than 50 sessions in tracks on artificial intelligence, design and development, enabling technologies, healthcare, and logistics. The Engineering Theater on the show floor will also feature presentations by industry experts. The Robotics Summit will also feature a number of networking opportunities. These include a Mix & Mingle Networking Reception after the first day of the show, the ticketed RBR50 Awards Dinner, and a Women in Robotics Breakfast. The Robotics Summit & Expo is co-located with DeviceTalks Boston, which focuses on medical devices.

hi-Tech.ua
Feb 12th, 2026
Toyota unveils its Fluorite gaming engine

Toyota unveils its Fluorite gaming engine. Toyota, through its subsidiary Toyota Connected North America, has announced the creation of its own game engine called Fluorite. Eurogamer reports this with reference to Automaton and Game*Spark. Fluorite is tightly integrated with Google's Flutter framework and uses the Dart programming language to implement logic and user interface. The main task of the development is to ensure high performance even on low-power or specialized equipment, including processing 3D graphics and interactive interfaces in the car cabin. Features of the Toyota Fluorite game engine. Among the key features of the engine is the Entity Component System core, written in C++ and optimized for work on devices with limited resources. Fluorite also offers a system of trigger touch zones defined at the model level. This allows artists to work in Blender and more precisely place interactive areas, simplifying the creation of three-dimensional interfaces. Another important feature is support for 3D rendering of game consoles, implemented on the basis of the Filament library from Google. This solution allows to improve the quality of graphics on car displays. In addition, the engine supports the Hot Reload function with Flutter, which allows you to update scenes and interface elements without restarting the system. According to Game*Spark, Toyota initially considered the possibility of using existing game engines, but faced high licensing costs and resource requirements. This led to the creation of its own solution. Toyota is positioning Fluorite as a fully open source engine. Although the company has no plans to enter the video game market, the tool will be available to independent developers who can use it in their own projects. Don't miss interesting news

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