arXiv cs.AI· Salim Fares, Steffen Herbold·· 12 小时前AI 评分34
AI 智能体能否帮到机器人工程师？来自工业界两个 Focus Day 的观察
Can AI Agents Help Robotic Engineers? Lessons from Two Focus Days in Industry
AI 导读
一项针对一家编程工业机器人的中小企业（SME）的案例研究显示，AI 智能体并未提升工程师的生产力，唯一例外是需要生成高度重复代码的任务。随着工程师学会使用该智能体、智能体也针对领域做了适配，效果随时间改善；对 AI 的经验比机器人工程经验更影响使用成败。作者据此指出 AI 智能体并非开箱即用，企业需培训工程师、预留学习曲线时间，并让智能体配置匹配领域与开发者需求。
正文 · 原文
Abstract:Software developers increasingly use AI agents that execute multi-step programming tasks on their own. However, it is unclear if and how this transfers to robotic engineering, where engineers program industrial robots in niche, vendor-specific languages and rely on visual feedback from simulation tools. Within this paper, we report a case study on the use of AI agents by an SME that programs industrial robots. Our results show that the agent did not make the engineers more productive, with the exception of a task that required the generation of highly repetitive code. However, the results with the agent improved over time, as the engineers learned how to use it and the agent was adapted to the domain. Moreover, the experience with AI mattered more for the success with the agent than the experience with robotic engineering. This shows that AI agents are not a plug-and-play solution. Instead, companies must train their engineers on the usage of agents, plan time for a learning curve, and ensure that agent configurations match the domain and developer requirements. The strong learning curve we observed further implies that studies on productivity gains with AI should be longitudinal, as they otherwise miss how engineers adopt agents in practice.
| Subjects: | Software Engineering (cs.SE); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.32636 [cs.SE] |
| (or arXiv:2610.32636v1 [cs.SE] for this version) | |
| https://doi.org/10.48550/arXiv.2610.32636 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Salim Fares [view email]
[v1]
Fri, 23 Oct 2026 13:47:47 UTC (178 KB)
来源：arXiv cs.AI · arxiv.org