Speeding up design and making to reduce time-to-project and time-to-market: an AI-Enhanced approach in engineering education
Giovanni Adorni, Daniele Grosso
- 发表年份
- 2025
- 访问权限
- 开放获取
摘要
This paper explores the integration of AI tools, such as ChatGPT and GitHub Copilot, in the Software Architecture for Embedded Systems course. AI-supported workflows enabled students to rapidly prototype complex projects, emphasizing real-world applications like SLAM robotics. Results demon-started enhanced problem-solving, faster development, and more sophisticated outcomes, with AI augmenting but not replacing human decision-making.
关键词
相关论文
如何缓解越野环境中语义分割的分布偏移
Ji-Hoon Hwang, Daeyoung Kim, Hyung-Suk Yoon 等 5 位作者
2026
基于原型模糊推理与证据融合的不确定性引导工业机器人可进化识别框架
Yanrun Zhou, Zihao Lei, Guangrui Wen 等 7 位作者
Robotics and Computer-Integrated Manufacturing · 2026
基于点云配准的非破坏性高分辨率涂层厚度三维扫描测量
Simon Duenser, Ivo Aschwanden, Raamadaas Krishnadas 等 5 位作者
Robotics and Computer-Integrated Manufacturing · 2026
迈向智能机器人时代:用于高级感知系统的多模态柔性触觉传感器
Sili Ding, Feng Xu, Jie Chen 等 6 位作者
Progress in Materials Science · 2026