Inspiration

  • Manpower shortage in restaurant industry
  • Tokyo Olympic Games: Trends of foreigners visiting Japan

What it does

  • Target Example: Izakaya
  • Foreign attention
  • Difficulty in rapid increase
  • Response to foreign languages
  • HACK points: Automatic detection of vacancy situation!
  • HACK points(2):Automatic detection of drinking!
  • Ordering a recommended item
  • Giving appreciative words
  • Talking to Pepper with a smile
  • Gamefying interaction with Pepper !

Reflect on the discount rate of coupons that you can get in your account!!

How we built it

Challenges we ran into

Accomplishments that we're proud of

  • Making customer server interaction more creative.

What we learned

  • Difficulty of SLAM implementation

What's next for Omotenashi Pepper

  • Foreign languages corresponding
  • menu recommendation by machine learning

Slide

https://docs.google.com/presentation/d/1ZDRl3l0P611GdmQIqexHuQsQU6QSeGYPCO_kuGrJeNQ/edit

Demo Movie

https://drive.google.com/file/d/0Bzk4QF5cMvqXX0c5TVpwaF9wYWc/view?usp=sharing

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