用功能集群限制空间为机器人视觉系统使用距离传感器的视角规划.
Alejandro Magaña1, Michiel Vlaeyen2,3, Han Haitjema2,3
1Institute for Machine Tools and Industrial Management, Technical University of Munich, 85747 Garching, Germany.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
本研究介绍了机器人视觉系统的泛化特征集群受约束空间 (GC空间). GC空间有效地为复杂的多功能任务找到多个视角,提高机器人视觉性能.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 计算机视觉 计算机视觉
- 计算几何学的计算几何学
背景情况:
- 机器人视觉系统 (RVS) 面临的挑战是计算多功能任务的视角.
- 现实世界的应用程序需要强大的观点,考虑到系统限制和不确定性.
- 之前的工作涉及使用受约束空间 (C空间) 的单个特征视角计算.
研究的目的:
- 扩展C空间以处理多功能视角计算.
- 为多特征问题引入通用的特征集群受约束空间 (GC空间).
- 制定通用视角规划策略,使用GC空间进行高效的多功能视觉任务.
主要方法:
- 制定了视角计算作为一个几何问题.
- 开发的特征集群受约束空间 (GC空间) 作为封闭形式的几何解决方案.
- 提出基于GC空间的通用视角规划策略.
主要成果:
- GC空间为特征集群提供无限的有效视角.
- 拟议的战略有效和高效地解决了多功能视觉任务.
- 验证了工业尺寸计量系统的框架.
结论:
- 在RVS中,GC空间提供了一个强大的几何解决方案,用于在RVS中多功能视角规划.
- 开发的战略提高了机器人视觉系统在复杂场景中的效率和有效性.
- 该框架适用于现实世界的工业视觉任务,如维度计量学.
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