Toyota Research Institute launches collaboration with Illinois, other academic institutions

The Toyota Research Institute (TRI) announced today that it has selected 13 additional academic institutions to participate in the next five year phase of its collaborative research program. These universities join MIT, Stanford and the University of Michigan which have worked with TRI over the last five years to expand the body of research into artificial intelligence (AI) with the goal of amplifying the human experience.

The next five year phase includes investing more than $75 million in the academic institutions, making it one of the largest collaborative research programs by an automotive company in the world.

“Our first five year program pushed the boundaries of exploratory research across multiple fields, generating 69 patent applications and nearly 650 papers,” said Eric Krotkov, TRI Chief Science Officer who leads the university research program. “Our next five years are about pushing even further and doing so with a broader, more diverse set of stakeholders.  To get to the best ideas, collaboration is critical.  Our aim is to build a pipeline of new ideas from different perspectives and underrepresented voices that share our vision of using AI for human amplification and societal good.” 

The following universities completed a comprehensive proposal submission and review process and will participate in the next phase of TRI’s collaborative research program: 

1. Carnegie Mellon University
2. Columbia University
3. Florida A&M University-Florida State University College of Engineering
4. Georgia Institute of Technology (Georgia Tech)
5. Indiana University
6. Massachusetts Institute Technology (MIT)
7. Princeton University
8. Smith College
9. Stanford University
10. Toyota Technological Institute at Chicago (TTIC)
11. University of California, Berkeley
12. University of Illinois Urbana-Champaign (UIUC)
13. University of Michigan
14. University of Minnesota
15. University of Pennsylvania
16. UCLA

Through this program, TRI will lead 35 joint research projects focused on achieving breakthroughs around difficult technological challenges in TRI’s research areas: Automated Driving, Robotics and Machine Assisted Cognition (MAC). 

CSL faculty member Joohyung Kim will lead the research collaboration at the University of Illinois. "I am very excited to participate in TRI’s research program," said Kim, associate professor in electrical and computer engineering. "This is the first partnership between TRI and UIUC and I am pleased to contribute.  My team will research multimodal sensing methods for robot manipulation tasks to help people in daily life. By exploring soft/hard materials, fabrication methods, and design optimization, we expect to develop useful sensing methods for robot tasks at home."

Klara Nahrstedt, Grainger Distinguished Chair of Engineering Professor and Director of the Coordinated Science Laboratory where Kim's research team is based, is similarly enthusiastic. "Artificial intelligence has the potential to transform many aspects of our lives, including transportation, but solving such grand challenges will require the brightest minds in academia and industry working together. We look forward to exploring new frontiers of AI with TRI."

The primary objectives of the joint research projects are to:

• Contribute significant new knowledge and understanding to the artificial intelligence field.
• Demonstrate the potential to radically advance state of the art concepts into possible use cases.
• Promote the transfer of knowledge through the meaningful exchange of scientific and technical information between TRI researchers and academic partners.
• Create and share infrastructure, including data and software, to further research, promote reproducibility and support education.

The first phase of the program, conducted over the last five years, sponsored 98 projects involving about 100 faculty members and over 200 students. These projects yielded important technology advances for ongoing TRI projects, including transfer learning in computer vision, self-supervised learning on contact-rich tasks, and techniques for mimicking human behavior in various driving interactions. The projects generated several awards for published papers at leading conferences including the CVPR 2018 Best Paper, an ICRA 2019 Finalist Best Paper, the ICRA 2019 Best Paper, and the 2020 IEEE Robotics and Automation Letters Best Paper Award. Additionally, the close collaborations resulted in the recruitment of several new TRI team members.

This next five year phase focuses investments in projects TRI researchers have a keen academic interest in exploring to create more value and impact for TRI. Each project features a TRI researcher as a co-investigator who will work with the university partner. This approach directly engages TRI researchers with the academic AI partners and ensures that the research contributes to the TRI mission.

TRI is also offering Young Faculty Researcher (YFR) projects to form partnerships with more junior (typically pre-tenure) faculty members. Whereas joint projects have TRI pursuing a specific direction and reaching technical milestones along the way, the YFR projects are specifically designed to support promising tenure stream faculty members, enabling them to explore broadly, inquire deeply, and address higher-risk, higher-payoff ideas. In YFR projects, TRI invests in the researcher and provides them with the freedom and flexibility to pivot from one direction to another. 

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About Toyota Research Institute

Toyota Research Institute (TRI), established in 2015, aims to develop active vehicle safety and automated driving technologies, robotics, and other human amplification technology.  Led by Dr. Gill Pratt, TRI’s researchers use 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 based in the United States, with offices in Los Altos, California, Cambridge, Massachusetts, and Ann Arbor, Michigan. For more information about TRI, please visit http://tri.global.