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With the development of robotics and vision measurement technology, the use of robots with line laser scanners for 3D scanning and measurement of parts has become a mainstream trend in the field of industrial inspection. Traditional scanning and measuring robots mainly use the teach-in scanning method, which has unstable scanning quality and low scanning efficiency. In this paper, the adaptive sampling method for a free-form surface, which can realize the adaptive distribution of surface measurement points according to the curvature features of free-form surfaces, is proposed first. Then, integrated with the proposed adaptive sampling method, the automatic path planning method is proposed. This method consists of adaptive sampling, scanning attitude calculation based on a quaternion, scanning viewpoint planning based on viewable cones, and scan path generation based on bi-directional scanning. Based on the proposed automatic path planning method, the scanning and measuring robot can obtain complete 3D information of the surface to be measured with high measurement accuracy and efficiency. The performance index of the laser scanner can be fully reached. [ABSTRACT FROM AUTHOR]

[Objective] Intelligent Sensing Engineering is an emerging discipline that responds to the ongoing technological revolution and industrial transformation. Established with a focus on meeting the national demands in emerging industries, this interdisciplinary field is a significant research topic for the development of intelligent sensing education. The design of sensor courses holds a key position in the curriculum, serving as a vital link between foundational and advanced concepts. The traditional sensor course at our institution primarily addresses the design and development of analog sensor interface circuits for Pt100 resistance temperature detectors. However, the fixed experimental procedures and a singular approach have impacted student enthusiasm in this regard. In contrast, flexible sensors, as a novel technology with broad innovation potential, have become a driving force in the era of intelligent sensing. Hence, incorporating the design of sensors in the curriculum has become imperative to familiarize students with the structures and system design concepts of new types of flexible sensors, such as graphene-based sensors. To cultivate students' abilities for independent learning, practical application, innovation, and solving complex engineering problems, a comprehensive course was designed. [Methods] This course integrates the production of flexible sensors, the construction of measurement circuits, data processing methods, and system calibration. Through this course, students can explore new application areas, design innovative intelligent sensing devices, and develop creative thinking and problem-solving skills. The goal is to enhance students' comprehensive skills and knowledge across multiple disciplines, covering the design of sensitive elements, conversion components, and conversion circuitry. The course also explores the manufacturing of flexible sensors using advanced materials, providing an in-depth understanding of the working principles and current production philosophies of advanced flexible sensors. By integrating knowledge from electronic engineering, materials science, and mechanical engineering, the course aims to foster students' holistic competence. Practical exercises allow students to foster hands-on skills, independent critical thinking, and problem-solving abilities, thus cultivating talents with enhanced innovation, engineering practice, and research capabilities. [Results] Compared to graphene, graphite, owing to its electrical properties being less influenced by various factors, is less common in the production of standard sensors. However, its layered structure and ease of cutting and bending make it convenient for students to personalize their creations within the sensor system. In contrast to mature standardized sensors, the performance of graphite flexible sensors is influenced by additional factors, such as environmental temperature, graphite purity, cross-sectional area, and length. This complexity provides students with opportunities to develop problem-solving skills, exercise variable control, and enhance data processing capabilities, merging theoretical sensor knowledge with practical applications. The designed course on graphite flexible pressure sensors effectively improves the teaching methods in the new field of Intelligent Sensing Engineering. [Conclusion] This innovative teaching approach not only increases the student's interest in the course but also develops their ability to think innovatively using acquired knowledge. Moreover, the design of this course effectively hones students' practical innovation skills, making them more competitive in the job market. Furthermore, it helps meet the growing demand for talent in the field of Intelligent Sensing Engineering. In addition, being abreast with the cutting-edge technologies in the field, students gain detailed insights into the latest research findings, thus laying a solid foundation for subsequent research work for both senior undergraduate and graduate students. [ABSTRACT FROM AUTHOR]

The referenced article [Opt. Express30, 28220 (2022)10.1364/OE.466148] has been retracted by the authors.

Herein, nanorod structures and four-leaf clover structures of fluorescent zinc 5,10,15,20-tetra(4-pyridyl)-21H,23H-porphine (ZnTPyP)-containing coordination polymer particles (CPPs) were first synthesized by a bottom-up strategy assisted by surfactants and then employed as seed structures for further shape-transformation reactions. We have successfully designed the morphological transformation for different dimensions, achieving the controlled formation of octahedron structures at both the nanometer scale and micrometer scale from the seed structures. Our approach illustrates a new method to design and synthesize metalloporphyrin-containing CPPs in a systematic and controllable manner., (© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)