AI 智能体能帮到机器人工程师吗：来自工业界两个专注日的案例研究
Can AI Agents Help Robotic Engineers? Lessons from Two Focus Days in Industry
AI 导读
一篇 arXiv 论文报告了一家编程工业机器人的中小企业开展 AI 智能体应用案例研究的结果。智能体总体上并未提升工程师的生产力，仅在高重复性代码生成任务中有效，但效果随工程师学习使用和智能体针对领域适配而逐步改善。研究还发现使用智能体的成败更多取决于 AI 使用经验而非机器人工程经验，说明 AI 智能体并非即插即用方案，企业需培训工程师、预留学习曲线时间，且生产率研究应采用纵向设计。
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