Teaching Reform of Intelligent Robot Principles and Practice Course
- DOI
- 10.2991/978-94-6239-691-3_3How to use a DOI?
- Keywords
- Educational reform; Intelligent robots; Student cultivation; Industrial demand; Practical skills
- Abstract
Intelligent robots refer to a new generation of robotic systems that integrate perception, decision-making, and execution capabilities. To meet the demands of the intelligent robotics industry for talent, we develop the course “Principles and Practice of Intelligent Robotics”. The course content primarily covers the concepts, development, and societal impact of intelligent robots, as well as the software and hardware usage methods for modules such as motion, perception, and communication in intelligent robots, along with comprehensive design and implementation methods for intelligent robots. The course emphasizes the evaluation of practical skills, focusing on cultivating engineering practical abilities and innovative thinking of students. This paper provides a detailed account of the reforms and practical measures implemented in terms of course objectives, teaching content, and assessment methods, aiming to offer reference for the development of similar courses.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yikang Yang AU - Peng Wang AU - Jia Ren PY - 2026 DA - 2026/05/31 TI - Teaching Reform of Intelligent Robot Principles and Practice Course BT - Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026) PB - Atlantis Press SP - 11 EP - 20 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6239-691-3_3 DO - 10.2991/978-94-6239-691-3_3 ID - Yang2026 ER -