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View Full Version : T-TR1, virtual mobility/telepresence robot, Toyota Research Institute (TRI), Los Altos, California, USA



Airicist
27th July 2019, 12:15
Developer - Toyota Research Institute (https://pr.ai/showthread.php?t=19986)

Airicist
27th July 2019, 12:27
https://youtu.be/DZOHGIzwiMU

T-TR1 projection and mobility function (https://www.tri.global/news/toyota-introduces-tris-t-tr1-a-virtual-mobility-2019-7-22)

Published on Jul 21, 2019


Toyota Motor Corporation (Toyota), as a worldwide partner of the Olympic and Paralympic Games, aims to provide mobility solutions that go beyond providing official vehicles for the Olympic and Paralympic Games Tokyo 2020. One way Toyota is doing this is by participating in the "Tokyo 2020 Robot Project", a project led by the Tokyo Organising Committee of the Olympic and Paralympic Games (Tokyo 2020) that brings the government, Tokyo Metropolitan government, as well as Games' partners together with experts in the field of robotics. At Tokyo 2020, the robots to be introduced by Toyota will be used to support the mobility of people at various locations and venues. By helping people feel and experience their hopes and dreams, Toyota believes it will be able to further contribute to the excitement and success of the Tokyo 2020 Games.

Airicist
27th July 2019, 12:28
Article "Toyota Research Developing New Telepresence Robot for 2020 Olympics (https://spectrum.ieee.org/automaton/robotics/home-robots/toyota-research-developing-new-telepresence-robot-for-2020-olympics)"
Toyota's T-TR1 offers a way for people to attend the Olympics without leaving home

by Evan Ackerman
July 23, 2019

Airicist2
19th February 2023, 01:51
https://youtu.be/kKz2mtYdQAA

TRI EXPO Robotics

Feb 17, 2023


TRI is inventing robotic capabilities that amplify people – rather than replace them – to address the challenges emerging from an aging society, both at home and at work. In order to develop entirely new approaches to robotics that apply to many different real-world applications, we first focus on solving what we call “challenge tasks” – tasks that are so difficult that the current state of the art cannot solve them, yet with quantitative metrics of success, so we can measure progress towards new capabilities. We then take the capabilities developed in these challenge tasks and demonstrate how they can be applied in multiple different real-world applications to amplify, not replace, people.