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Summary Robot Interaction Lecture 7 + Literature

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2021/2022 Written for academic year
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Vrije Universiteit Amsterdam (VU)
Course
Robot Interaction (XB_0040)
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This file is about understanding language. In this file, I have summarised both the live lecture 7 as well as the according to literature. It entails all the information required for both the assignments as well as the exam.

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Robot Interaction
Lecture 7

, Lecture & Literature - Summary
Understanding Language
1ST PAPER :

Why communicate with a machine in natural language?

 Natural language is the most natural and inclusive interface for human interaction
o Children learn language and use this to communicate with others
 It is a very efficient way of interacting with one another
 It is obvious to have machines learn language
 Robots (so far) are not very flexible
o By adding NLP, you add flexibility
 Robots could then operate autonomously
 Get much more clarity, machines that can explain why they do something

Opening a Black Box of AI
Difference between machine learning and deep learning:




Deep learning is originated from research on the brain (how input stimuli are processed)

With deep learning you have different layers, accordingly you have different regions of the brain in
which the stimuli passes through

Here are the different layers for facial recognition based on pixels (positioning and colors):
Connected book
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Christoph Bartneck, Tony Belpaeme Human-Robot Interaction
Publisher: Unknown ISBN: 9781108735407 Edition: Unknown

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Study
Artificial Intelligence
Summarized whole book?
Yes
Uploaded on
November 3, 2021
Number of pages
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2021/2022
Type
Summary
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Browse related subjects

Subjects

  • understanding language
  • • natural language
  • nlp
  • opening a black box of ai
  • machine learning
  • deep learning
  • care
  • • collaborative
  • working and living together with intelligent agents in real world situations

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