Introduction of Intelligent Robot

Beijing University of Chemical Technology

Syllabus for   Introduction of Intelligent Robot  _

Ⅰ. General Information

Ⅱ.Curriculum Nature and Course Objectives

The course is a basic elective course for robotics engineering majors in colleges and universities. This course is an overview, guidance and extensibility course for students majoring in robot engineering. Students need to learn and understand the main research content and development trend of robotics in various research fields, so as to prepare for becoming a robot engineering and technical talent. Students are required to achieve the following goals through this elective course:

G1. Be able to understand the main research fields and development trends of robotics, master the general basic knowledge of robots in various fields and their development and related applications, cultivate the learning interest, stimulate the exploration motivation of robotics related fields, and provide references for future learning and development goals; Be able to search the related literature in the field of robotics according to the goal, and master the reading and learning methods of the research literature;

G2. Be able to understand the basis of robot structure and control, design methods of multi-type robot structure and control system, divergent thinking, and propose conceptual innovation schemes;

G3. Be able to understand the application logic of artificial intelligence and human-computer interaction technology in robot design, be able to comprehensively apply relevant artificial intelligence and human-computer interaction methods, such as search and optimization algorithm, machine learning, reinforcement learning, speech recognition, imitation learning, human information processing queuing network, etc., to solve relevant problems in the field of robots, divergent thinking, and propose conceptual innovation schemes.

Ideological and political goals: stimulate course interest and cultivate patriotism. It will be deepened education in the scientific spirit of striving for excellence and in vocational education. Cultivate the spirit of innovation and ingenuity, and strengthen the education of love specialty.

Ⅲ. The Corresponding Relationship between Course Objectives and Graduation Requirements

Table 1 Correspondence between course objectives and graduation requirements

Ⅳ. Teaching Contents and Requirements for the Lecturing Part

4.1 The history, current situation and development trend of robot (3 credit hours)

4.1.1 Teaching Objectives (G1): Introduce the history, current situation and development trend of robot.

4.1.2 Teaching content

 (1) The origin, development history and development trend of robot engineering

 (2) Definition of robotics discipline

 (3) The basic structure, characteristics and classification of robots

(4) The research content, application and social problems of robot

(5) Research literature learning methods in the field of robotics

4.1.3 Teaching requirements: Understand the history and development trend, main research content, application and social problems of robotics; Master the retrieval, reading and learning methods of research literature in the field of robotics.

Ideological and political entry point 1: The origin and development of automatic machines. Introduce pictures, videos, principles and stories of famous automatic machines in Chinese history and historical stories, such as wooden oxen and horses, seismographs, pointing carts, and drum carts. Cultivate students' professional quality and action.

4.2 Robot structure design and application (6 credit hours)

4.2.1 Teaching Objectives (G1, G2): Introduces the application of multi-type robot structure foundation and structure design method in robot design field.

4.2.2 Teaching content

 (1) Robot structure design method

Robot basic structure and characteristics, robot mechanical foundation and structural performance index; Robot structure design method.

 (2) The research field of robot structure design

Concept and design method of exoskeleton robot, artificial wrist, lightweight design method of robot structure, reconfigurable modular design, soft structure robot.

4.2.3 Teaching requirements: Understand the basic structure, mechanical characteristics and performance indicators of robots, master the relevant mechanical structure design methods; To understand the structural characteristics of various kinds of robots and the application of related structural design methods in the field of robot design.

Ideological and political entry point 2: Structure analysis of extravehicular robotic arm of China Space Station. Introduce the pictures of the extravehicular robotic arm of China's space station and the related principle introduction video. Establish the confidence, patriotic feelings and professional love of China manufacturing.

4.3 Design and application of robot control system (6 credit hours)

4.3.1 Teaching Objectives (G1, G3): Introduces the basis of multi-type robot control system and the application of control design method in the field of robot design.

4.3.2 Teaching content

 (1) Overview of robot control systems.

Basic knowledge of robot kinematics and dynamics, design method of robot control system.

 (2) The research field of robot control system design.

The application of various control design methods in robot motion control, trajectory planning and torque control.

4.3.3 Teaching requirements: Understand the basic of robot control system and main control design methods, and understand the application of various control design methods in the field of robot design.

4.4 Application of artificial intelligence in robotics (9 credit hours)

4.4.1 Teaching Objectives (G1, G2, G3): Introduced the development history and system of artificial intelligence, artificial intelligence related technology and its application in the field of robotics. Develop the ability to combine the basic theory and knowledge of artificial intelligence with robot design and application to propose designs and solutions.

4.4.2 Teaching content

 (1) Overview of artificial intelligence

History and architecture of artificial intelligence, including knowledge engineering, search strategies, support vector machines, reinforcement learning and related artificial intelligence methods.

 (2) The application of artificial intelligence in robotics

Application of intelligent design and reinforcement learning in robot structure design, control system design, motion control and so on.

4.4.3 Teaching requirements: Understand the development history and system of artificial intelligence, master several artificial intelligence methods, and understand the application and development of artificial intelligence technology in the field of robotics.

4.5 Application of human-computer interaction in robots (9 credit hours)

4.5.1 Teaching Objectives (G1, G2, G3): Introduces the development history, concept and main research contents of human-computer interaction, and the application of human-computer interaction technology in the field of robotics. Develop the ability to combine basic theory and knowledge of human-computer interaction with robot design and application to propose designs and solutions.

4.5.2 Teaching Content

 (1) Overview of Human-computer interaction

The concept and development history of human-computer interaction, and the main research contents of human-computer interaction, including the relevant basis of human-computer interaction, human cognition and perception, human information processing methods, GOMS model,KLM model.

 (2) Application of human-computer interaction in robotics

Human behavior prediction modeling method, application of human-computer interaction technology in automatic driving, brain-computer interface, embodied intelligence, direct physical human-computer collaboration.

4.5.3 Teaching requirements: Understand the development history of human-computer interaction, master the concept of human-computer interaction and common human-computer interaction methods, and understand the application of human-computer interaction in the field of robotics.

Ideological and political entry point 3: Application of brain-computer interface technology in the field of human-computer interaction and robotics. The first clinical study case of implantable brain computer interface in China is presented with pictures and introductory videos. Build confidence in Chinese scientific research and China manufacturing, understand that science and technology benefit mankind, and improve students' motivation for professional learning.

4.6 Various kinds of robots and their applications (2 credit hours)

4.6.1 Teaching Objectives (G2, G3):Learn about various types of robots and their applications in different fields.

4.6.2 Teaching content

Various types of robots in different fields are introduced and their applications, including industrial robots, military robots, bionic robots, agricultural robots, service robots, medical robots, the concept of Cyborg system, mechanical structure, motion control basis, and the application and development in various fields.

4.6.3 Teaching requirements: Learn about various types of robots in different fields and their applications and developments.

Ideological and political entry point 4: Military robots in our country. Introduce the relevant pictures and videos of the manned submarine China Jiaolong and the unmanned submersible Dragon Ball developed by China. Build the confidence of Made-in-China, stimulate the students' professional learning motivation, cultivate patriotic feelings, and establish the goal of working hard for our country.

Ⅴ.Teaching Contents and Requirements for the Practical Part

No

Ⅵ. Evaluation Standards

The assessment methods of this course include process assessment and final assessment. The process assessment includes class performance (including attendance, questioning, answering questions, group discussion) and class test.

The final assessment of the course is a comprehensive assessment of the process assessment and the final assessment, and based on this, the achievement of the course objectives is evaluated.

Ⅶ.Textbooks and Recommended References

7.1 Teaching materials

 [1] John J Craig, Translated by Yun Chaoet, Introduction to Robotics, China Machine Press, 3rd edition, 2018

 [2] Wang Anlin, Jiang Tao, Liu Guangjun, Intelligent Design, Higher Education Press, 2008

 [3] Zhan Qiang, Robotics - Mechanism, Kinematics, Dynamics and Motion Planning, Tsinghua University Press, 2019

7.2 Reference books

 [1] Peng Yinghong, Hu Jie, KBE Technology and its Application in Product Design, Shanghai Jiao Tong University Press, 2007

 [2] Liu Ruochen, Introduction to Artificial Intelligence, Tsinghua University Press, 2021

 [3] Zhang Weinan, Shen Jian, Yu Yong et al. Hands-on Learning and Reinforcement Learning, Posts and Telecommunications Press, 2021

Written by Guohua Chen