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基于眼动跟踪实验与VR仿真的农业机器人造型设计
常瑜1,田园2,尹项迎1
1.天津商业大学,天津 300134;2.北华航天工业学院,河北 廊坊 065000
摘要:
目的 为促进农业智能化发展,进一步丰富农业机械的用户感性意象,解决农业机器人造型设计同质化问题。方法 结合眼动跟踪实验与VR仿真技术,提出一种农业机器人造型设计方法。第一,确定样本及初步感性意象,进行感性意象的权重分析与筛选。第二,运用眼动跟踪设计样本进行造型特征点分析,主要依据热点区域确定关键造型要素。第三,依据意象权重分析、眼动实验结果等进行针对性的造型意象创新,形成方案集并完成计算机辅助设计。最后,通过熵权理论和VR仿真技术的介入完成综合设计评价,获得最优解。结论 以苹果采摘机器人造型设计为例,根据分析可知,在农业机器人造型设计中运用眼动跟踪技术与VR仿真评价,可以较为准确地依据用户感性意象需求进行造型设计创新,提高设计效率,其方法具有一定的适用性。
关键词:  产品设计  采摘机器人  眼动跟踪实验  VR仿真  设计评价
DOI:10.19554/j.cnki.1001-3563.2022.12.013
分类号:TB472
基金项目:天津市哲学社会科学规划课题重点项目(TJSR20-010);天津商业大学教学改革项目(TJCUJG202063)
Modeling Design of Agricultural Robot Based on Eye Tracking Experiment and VR Simulation
CHANG Yu1, TIAN Yuan2, YIN Xiang-ying1
(1.Tianjin University of Commerce, Tianjin 300134, China;2.North China Institute of Aerospace Engineering, Heibei Langfang 065000, China)
Abstract:
This paper aims to promote the development of agricultural intelligence, further enrich the perceptual image of agricultural machinery users, and solve the problem of homogeneity of agricultural robot modeling design. Combining the eye tracking experiment and VR simulation, a modeling design method of agricultural robot is proposed. Firstly, this paper determines the sample and preliminary perceptual image, and conducts the weight analysis and screening of perceptual image. Secondly, it uses the eye tracking experiment to analyze the modeling feature points, and mainly determines the key modeling elements based on the hot spots. Thirdly, according to the image weight analysis and eye movement experiment results, it carries on the targeted modeling image innovation, forms the scheme set and completes the computer-aided design. Finally, it uses entropy weight theory and VR simulation technology to complete the comprehensive design evaluation and obtain the optimal solution. Taking the shape design of apple picking robot as an example, the analysis shows that the application of eye tracking technology and VR simulation evaluation in the shape design of agricultural robot can more accurately innovate the shape design according to the user's perceptual image demands, and improve the design efficiency. In a nutshell, the method has certain applicability.
Key words:  product design  picking robot  eye tracking experiment  VR simulation  design evaluation

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