CareerCon 2019 is upon us!
CareerCon is a digital event all about landing your first data science job — and
[registration is now open!](https://www.kaggle.com/careercon2019)
Ahead of the event, we have a fun competition to get you started. See below for a unique challenge and opportunity to share your resume with select CareerCon sponsors.
![“CareerCon”](https://storage.googleapis.com/kaggle-media/competitions/kaggle/13242/logos/thumb76_76.png?t=2019-03-12-23-33-31)
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The Competition
Robots are smart… by design. To fully understand and properly navigate a task, however, they need input about their environment.
In this competition, you’ll help robots recognize the floor surface they’re standing on using data collected from Inertial Measurement Units (IMU sensors).
We’ve collected IMU sensor data while driving a small mobile robot over different floor surfaces on the university premises. The task is to predict which one of the nine floor types (carpet, tiles, concrete) the robot is on using sensor data such as acceleration and velocity.
Succeed and you'll help improve the navigation of robots without assistance across many different surfaces, so they won’t fall down on the job.
Special thanks for making this competition possible:
The data for this competition has been collected by
[Heikki Huttunen](http://www.cs.tut.fi/~hehu/)
and
[Francesco Lomio](https://tutcris.tut.fi/portal/en/persons/francesco-lomio(9a0f3b85-9c3d-44a0-ad24-c2646273495b)/publications.html)
from the
[Department of Signal Processing](https://www.tuni.fi/en/research/signal-processing-research-center)
and Damoon Mohamadi, Kaan Celikbilek,
[Pedram Ghazi](https://tutcris.tut.fi/portal/en/persons/pedram-ghazi(67c5c491-7da1-4fcd-bd2b-bb2d4b7878cb).html)
and
[Reza Ghabcheloo](https://tutcris.tut.fi/portal/en/persons/reza-ghabcheloo(4578be8d-8940-426f-8061-3caa8f482c77).html)
from the
[Department of Automation and Mechanical
  Engineering](https://www.tuni.fi/en/study-with-us/automation-engineering-factory-automation-and-robotics)
both from
[Tampere University](https://www.tuni.fi/en)
, Finland. We at Kaggle would like thank them all for kindly donating the data that has made this competition possible!