Course title
6M0198001
Intelligent Mechatronics

KUWAHARA Hiroaki
Course content
情報技術の急激な進歩に伴い、ものづくり現場やライフスタイルに革新をもたらす次世代システムの開発が進められている。このような次世代システムの実現に向け、これまでセンシングや形式知化の難しかった人間、もの、自然など実世界情報の抽出と応用、高度機能を実現する制御、そしてこれらの相乗効果を最大化するメカトロシステム設計技術は鍵となる。そこで、本講義では、メカトロニクス・ロボティクス、制御工学、情報工学の融合による実世界情報の知的センシングとモーションコントロールの基礎知識を習得する。また、現実の社会課題を解決するメカトロシステムの立案および実現に向けたシステムデザインの素養を身に着ける。
With the rapid advancement of information technology, development is underway for next-generation systems that bring innovation to manufacturing sites and lifestyles. Towards the realization of such next-generation systems, technologies for extracting and applying real-world information about humans, objects, and nature—previously difficult to sense or formalize—as well as advanced control functionalities to achieve high-level features, and mechatronics system design techniques to maximize their synergistic effects are key. Therefore, in this lecture, students will acquire foundational knowledge in intelligent sensing of real-world information and motion control through the integration of mechatronics, robotics, control engineering, and information engineering. Additionally, they will gain the skills necessary for system design aimed at solving real-world social issues and realizing mechatronic systems.
Purpose of class
実世界情報の知的センシング、モーションコントロールの基礎知識および技術を獲得し、革新的メカトロシステムの提案・計画能力を身に着ける。
Acquire foundational knowledge and skills in intelligent sensing of real-world information and motion control, and develop the ability to propose and plan innovative mechatronic systems.
Goals and objectives
  1. AI・画像処理、ハプティクスを応用したセンシング技術を理解する。
    Syudents will understand sensing technologies that apply AI, image processing, and haptics.
  2. 対象のモデリングとモーションコントロール技術を理解する。
    Syudents will understand the modeling of targets and motion control technologies.
  3. 要素技術を統合し、現実の社会課題を解決するメカトロシステムを提案・計画できる。
    Syudents will integrate core technologies to propose and plan mechatronic systems that solve real-world social challenges.
Relationship between 'Goals and Objectives' and 'Course Outcomes'

課題 発表・レポート Total.
1. 30% 30%
2. 30% 30%
3. 40% 40%
Total. 60% 40% -
Language
Japanese(English accepted)
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. センシング工学基礎および感覚情報、AIを応用した知的センシング
Foundations of Sensing Engineering and Intelligent Sensing Applying Sensory Information and AI
基礎知識の復習
Review
200minutes
2. 高機能を実現するモーションコントロール基礎
Foundations of Motion Control for Achieving High-Functionality
基礎知識の復習
Review
200minutes
3. メカトロシステムのモデリング
Modeling of Mechatronic Systems
基礎知識の復習
Review
200minutes
4. メカトロシステムの統合設計
Integrated Design of Mechatronic Systems
基礎知識の復習
Review
200minutes
5. メカトロシステムデザイン ー 課題の抽出と整理
Mechatronic System Design - Identifying and Organizing Challenges
社会課題の調査と開発課題の整理
Investigation of Social Issues and Organization of Development Challenges
200minutes
6. メカトロシステムデザイン ー グループ討議・計画立案
Mechatronic System Design - Group Discussion and Planning
必要技術要素の抽出と具現化方法の策定
Extraction of Necessary Technical Elements and Formulation of Implementation Methods
200minutes
7. メカトロシステムデザイン ー グループ発表会
Mechatronic System Design - Group Presentation Session
提案・計画内容の整理
Organization of Proposal and Planning Content
200minutes
Total. - - 1400minutes
Evaluation method and criteria
課題(60%), 最終発表・レポート(40)により評価する.
Evaluation is based on assignments (60%) and the final presentation/report (40%).
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class
Textbooks and reference materials
講義の補助となる文献を、適宜紹介する。
Appropriate literature will be introduced as supplementary material for the lecture.
Prerequisites
メカトロニクス・ロボティクス、計測工学、情報工学、制御工学の基礎事項の理解を前提とする。
It is assumed that students have an understanding of the basic concepts in mechatronics, robotics, measurement engineering, information engineering, and control engineering.
Office hours and How to contact professors for questions
  • 平日12:30~13:00
    Weekdays 12:30 PM to 1:00 PM
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 interpersonal skills
  • 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
Applicable 企業でのメカトロシステムの研究開発業務経験がある教員が、遠隔操作・極限環境ロボティクス、パーソナルモビリティ、人間支援デバイス、高度製造技術などの事例を紹介しながら、知能化メカトロシステムをデザインする素養を育成する。
Faculty with experience in research and development of mechatronic systems in industry will cultivate the ability to design intelligent mechatronic systems by introducing examples such as remote operation and extreme environment robotics, personal mobility, human support devices, and advanced manufacturing technologies.
Education related SDGs:the Sustainable Development Goals
  • 3.GOOD HEALTH AND WELL-BEING
  • 7.AFFORDABLE AND CLEAN ENERGY
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Sat Jun 29 04:30:37 JST 2024