Researchers at the University of Washington Information School are collaborating with TRI to create more accessible touchscreen dashboard displays that could be adaptable to drivers and lower the risks of distracted driving. “We are especially excited to work with the UW team as their expertise in adaptive user interfaces is a natural complement to our work in behavioral modeling, driving simulation, and interaction.”- Scott Carter, Senior Staff Research Scientist at TRI. Carter leads the project from the TRI side, working with a #UW team that includes iSchool Professor Jacob O. Wobbrock and Professor James Fogarty of the Paul G. Allen School of Computer Science & Engineering. The teams plan to present this work at MobileHCI 2024 in Melbourne, Australia, later this year. Learn more about how #accessibility research could make cars safer here: https://lnkd.in/g34_Bw2D
Toyota Research Institute
Research Services
Los Altos, California 50,182 followers
Improving the quality of human life through advances in energy and materials research, robotics, and AI.
About us
At Toyota Research Institute (TRI), we’re working to build a future where everyone has the freedom to move, engage, and explore with a focus on reducing vehicle collisions, injuries, and fatalities. Join us in our mission to improve the quality of human life through advances in artificial intelligence, automated driving, robotics, and materials science. We’re dedicated to building a world of “mobility for all” where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life. Through innovations in AI, we’ll… -Develop vehicles incapable of causing a crash, regardless of the actions of the driver. -Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility. -Bring advanced mobility technology to market faster. - Discover new materials that will make batteries and hydrogen fuel cells smaller, lighter, less expensive and more powerful. Our work is guided by a dedication to safety – in how we research, develop, and validate the performance of vehicle technology to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies. Over half of our technical team carries PhD degrees. We’re continually searching for the world’s best talent ‒ people who are ready to define the new world of mobility with us! We strive to build a company that helps our people thrive, achieve work-life balance, and bring their best selves to work. At TRI, you will have the opportunity to enjoy the best of both worlds ‒ a fun start-up environment with brilliant people who enjoy solving tough problems and the financial backing to successfully achieve our goals. Come work with TRI if you’re interested in transforming mobility through designing safer cars, enabling the elderly to age in place, or designing alternative fuel sources. Start your impossible with us.
- Website
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http://tri.global/
External link for Toyota Research Institute
- Industry
- Research Services
- Company size
- 201-500 employees
- Headquarters
- Los Altos, California
- Type
- Privately Held
- Founded
- 2016
- Specialties
- Artificial Intelligence, Applied Research, Deep Learning, and Machine Learning
Locations
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Primary
4440 El Camino Real
Los Altos, California 94022, US
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One Kendall Square
Building 600, Suite 6-501
Cambridge, MA 02139, US
Employees at Toyota Research Institute
Updates
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Thanks for joining us at #RSS2024! ⭐ Highlights from the conference ⭐ • We were honored to help organize the annual RSS Pioneers this year, which brings together a cohort of the world’s top early-career researchers. This workshop aims to provide them with networking opportunities, help them navigate their next career stages, and foster creativity and collaboration surrounding challenges in all areas of robotics. Shout out to Masha Itkina for driving this effort, as well as Hadas Kress-Gazit and Benjamin Burchfiel for speaking! • Our collaborative work with Stanford and Columbia on Universal Manipulation Interface (UMI) was the Runner-Up for Best Systems Paper! • TRI researchers participated in several great panels and workshops, alongside fellow industry and academia pioneers, covering groundbreaking topics such as GenAI for Human-Robot Interaction (GenAI-HRI) and Semantics for Robotics. • We showcased a great tutorial on Supervised Policy Learning for Real Robots organized in part by Russ Tedrake and Siyuan Feng! Check out these presentations and papers at RSS below. A big thank you to our university and industry collaborators for your support! 📄 Papers and Projects 🛠️ Universal Manipulation Interface (UMI): https://lnkd.in/gB2RGsGy “Explore Until Confident” paper: https://lnkd.in/gpmWr7JD DROID: https://lnkd.in/gdbZ3vxV 👨🏫 Presentations & Workshops 👩🏫 Supervised Policy Learning for Real Robots: https://lnkd.in/gvicb5d8 Semantics for Robotics Workshop– Presentation by Masha Itkina: “Towards Uncertainty-Aware Embodied Behavior Generalization” https://lnkd.in/get4atNE AVAS Workshop– Presentation by John Subositis: “Uncertainty-Aware Modeling and Control for Driving at the Limits of Handling” https://lnkd.in/gnZcQ8fe Generative Modeling meets HRI (GenAI-HRI): https://lnkd.in/ghDq2kAS
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Toyota Research Institute reposted this
Research Scientist @ Toyota Research Institute | Georgia Tech PhD | Fulbright Scholar | CV / ML / DL
Thrilled to share that our 𝐍𝐞𝐑𝐅-𝐌𝐀𝐄 paper has been accepted to #ECCV2024! ✨ How to effectively utilize large-scale NeRF captures? The paper's answer: Learn strong 3D representations from posed 2D data via self-supervised pretraining using NeRF as the input modality. Our NeRF-MAE representation 𝐬𝐜𝐚𝐥𝐞𝐬 remarkably well, improves downstream task performance on 𝐜𝐫𝐨𝐬𝐬-𝐝𝐚𝐭𝐚𝐬𝐞𝐭 𝐠𝐞𝐧𝐞𝐫𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧, and effectively ingests a large amount of data from 𝐯𝐚𝐫𝐢𝐨𝐮𝐬 𝐝𝐨𝐦𝐚𝐢𝐧𝐬. Check out our paper below for more details: 🌍 Webpage: https://lnkd.in/gY3t4wYQ 📗 Paper: https://lnkd.in/gFegvNaj 🌟 Code: https://lnkd.in/gPhpVKSu 📢 Narrated Video: https://lnkd.in/gjVG69uj Thanks to all co-authors Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira and Rareș Ambruș for pushing 3D perception for scene understanding! We're looking forward to sharing more about NeRF-MAE with you at #ECCV24 in Milan this year! We hope you find this as exciting as we do. #ECCV2024 #NeRFMAE #3D #MAE #selfsupervisedlearning #transformers #visiontransformers #machinelearning #artificialintelligence #computervision #deeplearning #AI #researchpapers #NeRF #RadianceFields
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Happy National #Intern Day from TRI! Check out the highlights from our intern events, including picnics, boba & build, and an AMA with our CEO Gill!
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Toyota Research Institute reposted this
Stanford University School of Engineering researchers, in collaboration with the Toyota Research Institute, have achieved the world’s first fully autonomous tandem drift, with the goal of advancing the potential of AI to improve safety. Both cars, lead and chase, are driverless. Using only AI, the lead must plan and execute its line without human input. The chase car must follow suit and catch up quickly afterward. “It’s a phenomenal sport. Professional drifters are the best at what they do. They’re operating at the absolute maximum of what the tire-road interface will allow. We wanted to see if we could match that skill – using steering, throttle, and brakes to master friction and gravity to achieve these graceful moves. You can’t pre-program that. It’s a real test of what AI can do.” -Chris Gerdes, professor emeritus of mechanical engineering 🗞️: https://lnkd.in/gJfu3r2m 📸: Toyota Research Institute
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How did researchers manage to get two Supras to perform autonomous tandem drifting, and why did they study this in the first place? While we have previously demonstrated single-car autonomous drifting, tandem drifting presents the most challenging motion planning and vehicle control problem. The need to balance multiple conflicting objectives, such as avoiding collisions, staying on the road, and reacting to other vehicles in real time, makes it a valuable #AV problem to study and learn from to improve future safety technologies. Find out how TRI and Stanford University School of Engineering researchers accomplish this using #AI in our latest Medium blog: https://lnkd.in/gw3PA8Pz
Stanford Engineering and Toyota Research Institute Achieve World’s First Autonomous Tandem Drift
toyotaresearch.medium.com
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“What we’re really looking at here is how to control the car at the extremes of performance, when the tires are sliding, the kind of condition you would encounter when you're driving on snow or ice.” – Avinash Balachandran, VP of TRI's Human Interactive Driving division. Will Knight, Senior Writer at WIRED, spoke with Avinash and Chris Gerdes, Professor of Mechanical Engineering at Stanford University School of Engineering, on the technology and goals behind the tandem drift research. Read about it here: https://lnkd.in/gbqEp_S8
Toyota Pulls Off a Fast and Furious Demo With Dual Drifting AI-Powered Race Cars
wired.com
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TRI and Stanford University School of Engineering present the world’s first-ever autonomous tandem drift! Powered by #AI, this research demonstrates how autonomy can be used in future safety systems to keep people safer on the road. Watch the full video: https://lnkd.in/gHScckuw Technical blog: https://lnkd.in/gw3PA8Pz #Toyota announcement details: https://lnkd.in/gkY8Sf_t