ADAS & Autonomous Vehicle Engineering - April 2023 - 17
Artificial Intelligence/Machine Learning
TRI's 50-person robotics team is focused on the challenge of helping aging society.
happiness and societal harmony. That's not as lofty a
goal as it sounds, asserted the directors of TRI's key
divisions during the open house event. They believe
it's rooted in the jidoka principle - " automation
with a human touch " - Toyota has followed since its
founding as a maker of automatic looms in 1926.
Technology should amplify the work of human
beings, rather than displace them, thus " upholding
the dignity of human work, " Pratt said. " We believe
jidoka can be applied in many ways. " TRI's role as an
enabler, then, is to do " the highest-risk, highest-reward
research, " he explained.
" Highest risk means we actually expect to fail a
good fraction of the time. While we don't want to fail, I
know if our projects aren't failing around a third of the
time, then we're going after projects that are too easy.
They're not taking the high risk to get the high reward. "
Outgoing Toyota CEO Akio Toyoda set Pratt's
job expectation as simply, " Surprise me. " It continues
under incoming CEO Koji Sato. " That's our job - to
make that leap; take those risks. It's okay if you fail a
fraction of the time, but some of the time you should
succeed. " In doing so TRI will help keep Toyota at the
frontier of innovation and leadership in IP generation.
Humans + AI in the loop
Within the vehicle-development community, AI is
increasingly being accepted as integral to vehicle and
systems development, by helping humans to solve
complex engineering problems. The benefits are
reduced test and validation time, faster time to market
and lower cost. AI also is a vital layer in machine
learning, as well as in the design of the human-machine
interface (HMI) in vehicles and its functionality.
ADAS & AUTONOMOUS VEHICLE ENGINEERING
" We're choosing productive ways to use the technology in
ways in which humans and AI can interact more, " explained
Charlene Wu, TRI's director of human-centered AI.
" The history of AI is the history of hype, " asserted
Adrien Galdon, director of Machine Learning (ML)
at TRI and an adjunct professor of computer science
at Stanford University. " What I'm hopeful for is, we're
seeing tools on the Web that are becoming more and
more useful, particularly if they have human oversights
and have humans and machines working in tandem. "
Galdon stressed the importance of human amplification
in AI's development and applications. " You've
seen how far it is to go from the web to the physical world
for AI, because data is so much more expensive, slow,
April 2023 17
Toyota Research Institute
Lindsay Brooke
ADAS & Autonomous Vehicle Engineering - April 2023
Table of Contents for the Digital Edition of ADAS & Autonomous Vehicle Engineering - April 2023
ADAS & Autonomous Vehicle Engineering - April 2023 - CVR1
ADAS & Autonomous Vehicle Engineering - April 2023 - CVR2
ADAS & Autonomous Vehicle Engineering - April 2023 - 1
ADAS & Autonomous Vehicle Engineering - April 2023 - 2
ADAS & Autonomous Vehicle Engineering - April 2023 - 3
ADAS & Autonomous Vehicle Engineering - April 2023 - 4
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ADAS & Autonomous Vehicle Engineering - April 2023 - CVR3
ADAS & Autonomous Vehicle Engineering - April 2023 - CVR4
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