2022 Intelligent Communication and Social Interaction

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Academic unit or major
Graduate major in Systems and Control Engineering
Nakadai Kazuhiro  Itoyama Katsutoshi 
Class Format
Lecture    (Face-to-face)
Media-enhanced courses
Day/Period(Room No.)
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
Access Index

Course description and aims

This lecture describes robot, AI, and sensing technology for human-robot and human-machine interaction such as the design of interactive systems, verbal and non-verbal interaction, perceptual interaction, human sensing technology, scene understanding technology by researchers in Honda Research Institutes, accompanied with an introduction to cutting-edge research being proceeded in Honda Research Institutes.

Student learning outcomes

The following items will be understood and acquired
* broad knowledge on communication and interaction technologies
* a deep understanding of the cutting-edge technologies at HRI.


Intelligent Communication, Social Interaction, human understanding, scene analysis, sensor networks, robotics, system design, natural language communication, non-verbal interaction, human-machine interface

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

An omnibus-style lecture by a researcher at the Honda Research Institute (HRI). Cutting-edge technologies related to intellectual communication and social interaction will be introduced from various aspects.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Overview of Research in HRIs see "授業時間外学修"
Class 2 Interactive Robots see "授業時間外学修"
Class 3 Verbal communication technology see "授業時間外学修"
Class 4 Non-verbal interaction see "授業時間外学修"
Class 5 Perceptual interaction see "授業時間外学修"
Class 6 Human understanding see "授業時間外学修"
Class 7 Scene understanding see "授業時間外学修"

Out-of-Class Study Time (Preparation and Review)

In order to improve the learning effect, students are expected to acquire background knowledge from HRI's website and articles, and to review the contents of each class by referring to the handouts, etc., for about 100 minutes each.


No textbook used

Reference books, course materials, etc.

Materials will be distributed accordingly.

Assessment criteria and methods

Evaluation by report assignment

Related courses

  • SCE.I402 : Advanced Course of Sensing System Theory
  • SCE.R301 : Robotic System and Control
  • SCE.I205 : Fundamentals of Data Science
  • SCE.M351 : Advanced Sensing Technology
  • ART.T459 : Natural Language Processing
  • SCE.I406 : Machine Learning Framework
  • SCE.R303 : Fundamentals of Bio-systems
  • IEE.C534 : Human-Robot Interaction
  • ESD.F403 : UX / Interaction Design
  • ICT.H517 : Advanced Measurement of Sensory Information

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Need to have general undergraduate graduation level academic ability. Basically, looking for a wide range of students to attend the lecture.

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