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2023 Faculty Courses School of Engineering Department of Systems and Control Engineering Graduate major in Systems and Control Engineering

Intelligent Communication and Social Interaction

Academic unit or major
Graduate major in Systems and Control Engineering
Instructor(s)
Kazuhiro Nakadai / Katsutoshi Itoyama
Class Format
Lecture (Face-to-face)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
7-8 Fri (W3-201(W321))
Class
-
Course Code
SCE.I433
Number of credits
100
Course offered
2023
Offered quarter
3Q
Syllabus updated
Jul 8, 2025
Language
English

Syllabus

Course overview and goals

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.

Course description and aims

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.

Keywords

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

Competencies

  • 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/Objectives

Course schedule Objectives
Class 1 Overview of research in HRIs see "授業時間外学修"
Class 2 Human understanding see "授業時間外学修"
Class 3 Verbal communication technology see "授業時間外学修"
Class 4 Perceptual interaction (1) see "授業時間外学修"
Class 5 Perceptual interaction (2) see "授業時間外学修"
Class 6 Interactive robot see "授業時間外学修"
Class 7 Scene understanding see "授業時間外学修"

Study advice (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.

Textbook(s)

No textbook used

Reference books, course materials, etc.

Materials will be distributed accordingly.

Evaluation methods and criteria

Evaluation by report assignment

Related courses

  • SCE.I434 : Robot Audition and Scene Analysis
  • 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

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