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方向: 博士后 计算机视觉支持的生物催化增材制造 位置: 代尔夫特理工大学,荷兰 截止日期: 24 Feb 2025 - 22:59 (UTC) 项目介绍: Computer vision enabled, biosinpired additive manufacturing Job description Current additive manufacturing systems rely on absolute positioning and stationary reference planes. This significantly limits their application potential and, consequently, the broader impact of using 3D printers in dynamic system configurations. Living systems exhibit fascinating traits such as optical flow imaging, efficient information processing, real-time navigation, and dynamic correction. Exploring these features could inspire next-generation control systems, leveraging technologies like neuromorphic spiking networks, to create more resilient and lightweight 3D printing machines. We propose that if a printer uses visual cues such as optical flow and visual appearance to determine its position relative to the relevant object, the frame
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