保证机器人在软果生产中的自主性

M. Khalid, Leonardo Guevara, Marc Hanheide, Simon Parsons
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引用次数: 0

摘要

本文介绍了我们为确保软果生产安全自主所做的工作。第一步是危害分析,确定代表性情景中所有可能的危害。在此分析之后,确定了一个三层安全架构,该架构将最大限度地减少已识别危险的发生。大部分的危险都是通过上层来减少的,而不可避免的危险则通过紧急停车来处理。同时,我们使用概率模型检查来检查危险发生的概率。模型检查的结果将用于改进安全系统架构
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Assuring autonomy of robots in soft fruit production
—This paper describes our work to assure safe autonomy in soft fruit production. The first step was hazard analysis, where all the possible hazards in representative scenarios were identified. Following this analysis, a three-layer safety architecture was identified that will minimise the occurrence of the identified hazards. Most of the hazards are minimised by upper layers, while unavoidable hazards are handled using emergency stops. In parallel, we are using probabilistic model checking to check the probability of a hazard’s occurrence. The results from the model checking will be used to improve safety system architecture
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Wearable Sensor Tools for Efficient Human Robot Interaction Older adults’ perceptions of Socially Assistive Robots Small datasets for fruit detection with transfer learning. #UKRAS21: The 4th UK Robotics and Autonomous Systems Conference Affordable Robot Mapping using Omnidirectional Vision
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