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1
< Career >
- 2007.4 - 2017.3
- 2015.2 - 2016.3, 2017.2-2017.3
Technical University of Munich, Germany
Twitter: @Georgekt0927
↑
Slide is available
2
Preferred Networks (PFN)
•
•
•
•
•
Deep learning Industrial IoT
Manufacturing
Automotive
Healthcare
3
credits:
gpu by Misha Petrishchev from the Noun Project
Network Switch by Creaticca Creative Agency from the Noun Project
4
Challenges in current robotics
Source http://www.appraccel.com/blog/2017/1/4/freeing-up-humans-to-do-meaningful-work
…
Source http://toyota.jp/mirai/grade/Source http://toyota.jp/mirai/grade/
5
New Area in Robotics
Source http://www.appraccel.com/blog/2017/1/4/freeing-up-humans-to-do-meaningful-work
6
New Area in Robotics
7
Today’s topics
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●
Previous works
● (e.g. [Yamada+ 2017])
● [Paul+ 2017] [Shridhar+ 2017]
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!
"
!
"
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1x
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1x
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!
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!
Margin
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About 100 types of commodities
English 91k instructions, Japanese 7.7k instructions
(At least three people give sentences
to each object by crowdsourcing)
16
Our dataset
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1x
20
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●
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● 92.7% in English, and 84.1% in Japanese
23
!
How to judge the texture
of the object from the image?
Today’s topics
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?
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Summary
Twitter: @Georgekt0927
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Slide is available
38

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Real-World Objects Interaction with Unconstrained Spoken Language Instructions