Software for Small-scale Robotics: A Review
文献类型：期刊论文
| 作者 | Tobias Tiemerding1,2; Sergej Fatikow2 |
| 刊名 | International Journal of Automation and Computing
 |
| 出版日期 | 2018 |
| 卷号 | 15期号:5页码:515-524 |
| 关键词 | Robotic control software engineering micro/nano robotics artificial intelligence (AI) machine learning (ML) open source. |
| ISSN号 | 1476-8186 |
| DOI | 10.1007/s11633-018-1130-2 |
| 英文摘要 | In recent years, a large number of relatively advanced and often ready-to-use robotic hardware components and systems have been developed for small-scale use. As these tools are mature, there is now a shift towards advanced applications. These often require automation and demand reliability, efficiency and decisional autonomy. New software tools and algorithms for artificial intelligence (AI) and machine learning (ML) can help here. However, since there are many software-based control approaches for small-scale robotics, it is rather unclear how these can be integrated and which approach may be used as a starting point. Therefore, this paper attempts to shed light on existing approaches with their advantages and disadvantages compared to established requirements. For this purpose, a survey was conducted in the target group. The software categories presented include vendor-provided software, robotic software frameworks (RSF), scientific software and in-house developed software (IHDS). Typical representatives for each category are described in detail, including SmarAct precision tool commander, MathWorks Matlab and national instruments LabVIEW, as well as the robot operating system (ROS). The identified software categories and their representatives are rated for end user satisfaction based on functional and non-functional requirements, recommendations and learning curves. The paper concludes with a recommendation of ROS as a basis for future work. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/42430]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | 1.OFFIS–Institute for Information Technology, R&D Division Automation and Integration Technology (AIT), Escherweg 2, Oldenburg D-26121, Germany 2.Department of Computing Science, Division Microrobotics and Control Engineering (AMiR), University of Oldenburg, Ammerländer Heerstraße 114-118, Oldenburg D-26129, Germany |
| 推荐引用方式 GB/T 7714 | Tobias Tiemerding,Sergej Fatikow. Software for Small-scale Robotics: A Review[J]. International Journal of Automation and Computing,2018,15(5):515-524. |
| APA | Tobias Tiemerding,&Sergej Fatikow.(2018).Software for Small-scale Robotics: A Review.International Journal of Automation and Computing,15(5),515-524. |
| MLA | Tobias Tiemerding,et al."Software for Small-scale Robotics: A Review".International Journal of Automation and Computing 15.5(2018):515-524. |
入库方式： OAI收割
来源：自动化研究所
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