Course title
1M9932401
Human robotics

 OKU Takanori
Course content
Human intellectual activities, such as text processing and illustration, are increasingly being handled by artificial intelligence (AI) technologies. In contrast, everyday human sensorimotor activities, like picking up a dropped object or walking from home to school without colliding with others, remain challenging for current AI and robotics systems.
One reason for this challenge is that the human neural mechanisms underlying skilled movements are not yet fully understood. In this lecture, we will explore these mechanisms for controlling body movements and executing skilled motor tasks through a “human robotics” approach, which models human motor control as an integrated system of biomechanics and neural control.
Purpose of class
Through deepening the understanding of biomechanics and neural mechanisms related to human motor control, students will understand how to model human movement and how to analyze kinematic data and physiological data. Students will also learn about their applications to rehabilitation and robotics.
Goals and objectives
  1. Students can understand the basic of human biomechanics
  2. Students can understand the basic of human neural mechanism underlying motor control
  3. Students can understand the basic of the methodology of the analysis of kinematic data and physiological data.
  4. Students can obtain the latest information in their research area through research papers
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Report Presentation Total.
1. 15% 15% 30%
2. 15% 15% 30%
3. 10% 10% 20%
4. 10% 10% 20%
Total. 50% 50% -
Language
Japanese(English accepted)
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1． Guidance of the class
Overview for the human motor control 		授業の復習 120minutes
2． Investigation and presentation 論文調査・発表準備 180minutes
3． Investigation and presentation 論文調査・発表準備 180minutes
4． Overview for the human sensorimotor learning 授業の復習 180minutes
5． Investigation and presentation 論文調査・発表準備 180minutes
6． Investigation and presentation 論文調査・発表準備 180minutes
7． Investigation and presentation 論文調査・発表準備 180minutes
8． Overview for the neuroimaging 授業の復習 120minutes
9． Investigation and presentation 論文調査・発表準備 180minutes
10． Investigation and presentation 論文調査・発表準備 180minutes
11． Investigation and presentation 論文調査・発表準備 180minutes
12． Overview for the application to neurorehabilitation and robotics 授業の復習 120minutes
13． Investigation and presentation 論文調査・発表準備 180minutes
14． Investigation and presentation 論文調査・発表準備 180minutes
Total. - - 2340minutes
Evaluation method and criteria
Grade is judged by reports and presentations.
The total of 50% for the report and 50% for the presentation, and a grade of 60% or higher will be required to pass the course.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
授業内と授業外でフィードバックを行います。
Textbooks and reference materials
Reference texts：
Human Robotics: Neuromechanics and motor control, Maruzen publishing
Computational neuroscience, Morikita publishing
Prerequisites
英語の論文を読む練習をしておくことが望ましい
Office hours and How to contact professors for questions
  • After the classes
  • Making appointment is recommended.
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic problem-solving skills
Active-learning course
About half of the classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A 該当しない
Education related SDGs:the Sustainable Development Goals
  • 3.GOOD HEALTH AND WELL-BEING
  • 4.QUALITY EDUCATION
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Fri Mar 14 04:10:53 JST 2025