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Journal articles on the topic '3D scanning robot system'

Author: Grafiati

Published: 3 June 2025

Last updated: 19 July 2025

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1

Zagorski, Mihail, and Radoslav Miltchev. "FACILITATION OF THE 3D SCANNING PROCESS OF INDUSTRIAL SITES USING A SELF-MOVING AUTONOMOUS ROBOTIC SYSTEM." ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference 3 (June 22, 2024): 348–51. http://dx.doi.org/10.17770/etr2024vol3.8131.

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The present paper aims to examine how industrial sites can be more easily 3D scanned by integrating a self-moving autonomous robotic system and a large scale scanning technique. A case study is developed where an Unitree Go 1 Edu quadruped robot and a Trimble X7 3D laser scanning system are combined to illustrate the successful integration. For the full integration of the 3D scanner and the robot, several components are designed, using CAD software, and produced via Rapid Prototyping technologies. In the case study, different 3D scanning regimes are also tested. The case study showcases how th

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Ogorodnikova, Olessia, and Denis Olchanski. "On a 3D scanning robot system design problem." Periodica Polytechnica Mechanical Engineering 51, no. 1 (2007): 39. http://dx.doi.org/10.3311/pp.me.2007-1.06.

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Sokovic, Mirko, Dejan Bozic, Dejan Lukic, Mijodrag Milosevic, Mario Sokac, and Zeljko Santosi. "Physical Adaptation of Articulated Robotic Arm into 3D Scanning System." Applied Sciences 15, no. 10 (2025): 5377. https://doi.org/10.3390/app15105377.

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Robots and 3D scanning systems are essential in modern industrial production, enhancing quality control, reducing costs, and improving production efficiency. Such systems align with Industry 4.0 trends, incorporating the Internet of Things (IoT), Big Data, Cyber–Physical Systems, and Artificial Intelligence to drive innovation. This paper focuses on the physical adaptation of old or out-of-use articulated robot arms for new tasks such as manipulation with a handheld 3D scanner, with the goal of automated quality control. The adaptation was carried out using a methodology that features the appl

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Prieto, Samuel A., Antonio Adán, Andrés S. Vázquez, and Blanca Quintana. "Passing through Open/Closed Doors: A Solution for 3D Scanning Robots." Sensors 19, no. 21 (2019): 4740. http://dx.doi.org/10.3390/s19214740.

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In this article, a traversing door methodology for building scanning mobile platforms is proposed. The problem of passing through open/closed doors entails several actions that can be implemented by processing 3D information provided by dense 3D laser scanners. Our robotized platform, denominated as MoPAD (Mobile Platform for Autonomous Digitization), has been designed to collect dense 3D data and generate basic architectural models of the interiors of buildings. Moreover, the system identifies the doors of the room, recognises their respective states (open, closed or semi-closed) and complete

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Chen, C., X. Zou, M. Tian, et al. "LOW COST MULTI-SENSOR ROBOT LASER SCANNING SYSTEM AND ITS ACCURACY INVESTIGATIONS FOR INDOOR MAPPING APPLICATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W8 (November 13, 2017): 83–85. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w8-83-2017.

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In order to solve the automation of 3D indoor mapping task, a low cost multi-sensor robot laser scanning system is proposed in this paper. The multiple-sensor robot laser scanning system includes a panorama camera, a laser scanner, and an inertial measurement unit and etc., which are calibrated and synchronized together to achieve simultaneously collection of 3D indoor data. Experiments are undertaken in a typical indoor scene and the data generated by the proposed system are compared with ground truth data collected by a TLS scanner showing an accuracy of 99.2% below 0.25 meter, which explain

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Buhr, Malte, Chabir Akramyar, and Jörg Wollnack. "3D-Scannen beim roboterbasierten Auftragschweißen/Digitalization of additive manufacturing – 3D-Scanning in robot-baser cladding process." wt Werkstattstechnik online 112, no. 07-08 (2022): 516–19. http://dx.doi.org/10.37544/1436-4980-2022-07-08-70.

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Die roboterbasierte Additive Fertigung erlaubt die schicht- weise Herstellung von ressourceneffizienten Großstrukturen. Prozessinstabilitäten setzen die Verwendung von Geometriesensorik zur Regelung und Qualitätssicherung voraus. Deren Einsatz bedingt die Kalibrierung des Gesamtsystems. In diesem Beitrag werden die entsprechenden Konzepte aufgezeigt und weiterentwickelt. Robot-based additive manufacturing enables the production of large and resource-efficient parts layer-by-layer. Instabilities of the process induce the necessity of geometrical sensing for close-loop control and quality assura

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Gabbar, Hossam A., and Muhammad Idrees. "ARSIP: Automated Robotic System for Industrial Painting." Technologies 12, no. 2 (2024): 27. http://dx.doi.org/10.3390/technologies12020027.

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This manuscript addresses the critical need for precise paint application to ensure product durability and aesthetics. While manual work carries risks, robotic systems promise accuracy, yet programming diverse product trajectories remains a challenge. This study aims to develop an autonomous system capable of generating paint trajectories based on object geometries for user-defined spraying processes. By emphasizing energy efficiency, process time, and coating thickness on complex surfaces, a hybrid optimization technique enhances overall efficiency. Extensive hardware and software development

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Lu, Zongxing, Chunguang Xu, Qinxue Pan, Xinyu Zhao, and Xinliang Li. "Inverse Kinematic Analysis and Evaluation of a Robot for Nondestructive Testing Application." Journal of Robotics 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/596327.

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The robot system has been utilized in the nondestructive testing field in recent years. However, only a few studies have focused on the application of ultrasonic testing for complex work pieces with the robot system. The inverse kinematics problem of the 6-DOF robot should be resolved before the ultrasonic testing task. A new effective solution for curved-surface scanning with a 6-DOF robot system is proposed in this study. A new arm-wrist separateness method is adopted to solve the inverse problem of the robot system. Eight solutions of the joint angles can be acquired with the proposed inver

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Dabrowska, Sylwia, Martyna Ekiert, Kaja Wojcik, Marek Kalemba, and Andrzej Mlyniec. "A 3D Scanning System for Inverse Analysis of Moist Biological Samples: Design and Validation Using Tendon Fascicle Bundles." Sensors 20, no. 14 (2020): 3847. http://dx.doi.org/10.3390/s20143847.

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In this article, we present the design and validation of a non-contact scanning system for the development of a three-dimensional (3D) model of moist biological samples. Due to the irregular shapes and low stiffness of soft tissue samples, the use of a non-contact, reliable geometry scanning system with good accuracy and repeatability is required. We propose a reliable 3D scanning system consisting of a blue light profile sensor, stationary and rotating frames with stepper motors, gears and a five-phase stepping motor unit, single-axis robot, control system, and replaceable sample grips, which

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Lindner, Lars, Oleg Sergiyenko, Julio C. Rodríguez-Quiñonez, et al. "Mobile robot vision system using continuous laser scanning for industrial application." Industrial Robot: An International Journal 43, no. 4 (2016): 360–69. http://dx.doi.org/10.1108/ir-01-2016-0048.

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Purpose The purpose of this paper is the presentation and research of a novel robot vision system, which uses laser dynamic triangulation, to determine three-dimensional (3D) coordinates of an observed object. The previously used physical operation principle of discontinuous scanning method is substituted by continuous method. Thereby applications become possible that were previously limited by this discretization. Design/methodology/approach The previously used prototype No. 2, which uses stepping motors to realize a discontinuous laser scan, was substituted by the new developed prototype No.

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Qi, Jianhong, and Jinda Cai. "ERROR MODELING AND COMPENSATION OF 3D SCANNING ROBOT SYSTEM BASED ON PSO-RBFNN." International Journal on Smart Sensing and Intelligent Systems 7, no. 2 (2014): 837–55. http://dx.doi.org/10.21307/ijssis-2017-684.

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Jafri, Syed Riaz un Nabi, Yawar Rehman, Sadia Muniza Faraz, Hira Amjad, Moazza Sultan, and Syed Jaudat Rashid. "Development of Georeferenced 3D Point Cloud in GPS Denied Environments Using Backpack Laser Scanning System." Elektronika ir Elektrotechnika 27, no. 6 (2021): 25–34. http://dx.doi.org/10.5755/j02.eie.29063.

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This paper presents a method to generate a Georeferenced 3D point cloud of GPS denied built structures using custom made backpack laser scanning system. An orthogonal combination of 2D Hokuyo laser scanners has been used on the backpack system to generate a 3D point cloud of the surveyed environments. The data logging of scanners and simultaneous localization and mapping (SLAM) of the scanning system have been carried out using Robot Operating System (ROS). The developed local SLAM based 3D point cloud solution has been transformed into global Georeferenced 3D point cloud using observed geogra

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Li, Jing, Yang Wang, Ligang Qu, Minghai Wang, Guangming Lv, and Pengfei Su. "Study on Dynamic Scanning Trajectory of Large Aerospace Parts Based on 3D Scanning." Aerospace 11, no. 7 (2024): 515. http://dx.doi.org/10.3390/aerospace11070515.

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The aim of manufacturing large aerospace parts for the three-dimensional scanning field demands high precision and efficiency. However, it may be more challenging to meet the full coverage of the measurement problems for large aerospace parts with the scanning range of traditional three-dimensional scanning methods. This paper establishes a dynamic posturing scanning measurement system for large aerospace parts with a six-degree-of-freedom posturing platform and a six-degree-of-freedom industrial robot linkage. It establishes a mathematical model of dynamic three-dimensional scanning posturing

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Chiu, Cheng-Chang, Wen-Teng Wang, and Wan-Shan Yin. "CAD-based intelligent robot system integrated with 3D scanning for shoe roughing and cementing." MATEC Web of Conferences 123 (2017): 00013. http://dx.doi.org/10.1051/matecconf/201712300013.

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Ji, Yijun, Qing Xia, and Zhijiang Zhang. "Fusing Depth and Silhouette for Scanning Transparent Object with RGB-D Sensor." International Journal of Optics 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/9796127.

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3D reconstruction based on structured light or laser scan has been widely used in industrial measurement, robot navigation, and virtual reality. However, most modern range sensors fail to scan transparent objects and some other special materials, of which the surface cannot reflect back the accurate depth because of the absorption and refraction of light. In this paper, we fuse the depth and silhouette information from an RGB-D sensor (Kinect v1) to recover the lost surface of transparent objects. Our system is divided into two parts. First, we utilize the zero and wrong depth led by transpare

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Zheng, Yixuan, Hongyuan Ning, Eason Rangarajan, et al. "Design of a Cost-Effective Ultrasound Force Sensor and Force Control System for Robotic Extra-Body Ultrasound Imaging." Sensors 25, no. 2 (2025): 468. https://doi.org/10.3390/s25020468.

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Ultrasound imaging is widely valued for its safety, non-invasiveness, and real-time capabilities but is often limited by operator variability, affecting image quality and reproducibility. Robot-assisted ultrasound may provide a solution by delivering more consistent, precise, and faster scans, potentially reducing human error and healthcare costs. Effective force control is crucial in robotic ultrasound scanning to ensure consistent image quality and patient safety. However, existing robotic ultrasound systems rely heavily on expensive commercial force sensors or the integrated sensors of comm

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Naf’an, Emil, Riza Sulaiman, and Nazlena Mohamad Ali. "Optimization of Trash Identification on the House Compound Using a Convolutional Neural Network (CNN) and Sensor System." Sensors 23, no. 3 (2023): 1499. http://dx.doi.org/10.3390/s23031499.

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This study aims to optimize the object identification process, especially identifying trash in the house compound. Most object identification methods cannot distinguish whether the object is a real image (3D) or a photographic image on paper (2D). This is a problem if the detected object is moved from one place to another. If the object is 2D, the robot gripper only clamps empty objects. In this study, the Sequential_Camera_LiDAR (SCL) method is proposed. This method combines a Convolutional Neural Network (CNN) with LiDAR (Light Detection and Ranging), with an accuracy of ±2 mm. After testing

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Jafri, Syed Riaz un Nabi, Muhammad Owais Ali Siddiqui, Faraz Akbar, Abdul Basit, Sheraz Shamim, and Saad Ahmed. "Development of a Low-Cost Stationary Laser Scanning System for Generation of Building Information Models." Elektronika ir Elektrotechnika 28, no. 6 (2022): 12–20. http://dx.doi.org/10.5755/j02.eie.31374.

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This paper presents a method for developing a 3D point cloud map of any indoor and outdoor vicinities using an indigenously developed stationary scanning system comprising of a single low cost 2D laser scanner. The data logging of scanner and required inertial measurement units (IMUs) has been carried out using a Robot Operating System (ROS). Multiple divergent environments have been scanned and 3D point clouds have been developed, which have been found accurate when compared to the ground truth. In addition, the Building Information Model (BIM) of the surveyed vicinities have been developed u

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Zhu, Sheng, Fan Jun Meng, and De Ma Ba. "The Remanufacturing System Based on Robot MAG Surfacing." Key Engineering Materials 373-374 (March 2008): 400–403. http://dx.doi.org/10.4028/www.scientific.net/kem.373-374.400.

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A remanufacturing system based on robot MAG surfacing has been developed recently. In this paper, the work principle, functions and composition of this system are introduced. A worn metal part to be remanufactured should be preprocessed firstly, and the defective model of the part gained by reversing engineering technology is compared with normal model of the metal part, then the prototyping path layout is carried out combined with MAG welding process, finally the remanufacturing prototyping is implemented. The remanufacturing system is composed of robotic system (as executing machine), 3D las

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Yang, Qifeng, Daokui Qu, Fang Xu, Fengshan Zou, Guojian He, and Mingze Sun. "Mobile robot motion control and autonomous navigation in GPS-denied outdoor environments using 3D laser scanning." Assembly Automation 39, no. 3 (2019): 469–78. http://dx.doi.org/10.1108/aa-02-2018-029.

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Purpose This paper aims to propose a series of approaches to solve the problem of the mobile robot motion control and autonomous navigation in large-scale outdoor GPS-denied environments. Design/methodology/approach Based on the model of mobile robot with two driving wheels, a controller is designed and tested in obstacle-cluttered scenes in this paper. By using the priori “topology-geometry” map constructed based on the odometer data and the online matching algorithm of 3D-laser scanning points, a novel approach of outdoor localization with 3D-laser scanner is proposed to solve the problem of

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Zheng, Tenglong, Xiaoying Feng, Siyuan Wang, Haozhen Huang, and Shoupeng Li. "A Multi-View Three-Dimensional Scanning Method for a Dual-Arm Hand–Eye System with Global Calibration of Coded Marker Points." Micromachines 16, no. 7 (2025): 809. https://doi.org/10.3390/mi16070809.

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To achieve robust and accurate collaborative 3D measurement under complex noise conditions, a global calibration method for dual-arm hand–eye systems and multi-view 3D imaging is proposed. A multi-view 3D scanning approach based on ICP (M3DHE-ICP) integrates a multi-frequency heterodyne coding phase solution with ICP optimization, effectively correcting stitching errors caused by robotic arm attitude drift. After correction, the average 3D imaging error is 0.082 mm, reduced by 0.330 mm. A global calibration method based on encoded marker points (GCM-DHE) is also introduced. By leveraging spati

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Wu, W., C. Chen, Y. Cong, et al. "LOW-COST WHEELED ROBOT-BORNE LASER SCANNING SYSTEM FOR INDOOR AND OUTDOOR 3D MAPPING APPLICATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1155–59. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1155-2019.

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<p><strong>Abstract.</strong> Aiming to accomplish automatic and real-time three-dimensional mapping in both indoor and outdoor scenes, a low-cost wheeled robot-borne laser scanning system is proposed in this paper. The system includes a laser scanner, an inertial measurement unit, a modified turtlebot3 two-wheel differential chassis and etc. To achieve a globally consistent map, the system performs global trajectory optimization after detecting the loop closure. Experiments are undertaken in two typical indoor/outdoor scenes that is an underground car park and a road environ

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Guzel, Mehmet Serdar, and Robert Bicker. "A Behaviour-Based Architecture for Mapless Navigation Using Vision." International Journal of Advanced Robotic Systems 9, no. 1 (2012): 18. http://dx.doi.org/10.5772/46200.

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Autonomous robots operating in an unknown and uncertain environment must be able to cope with dynamic changes to that environment. For a mobile robot in a cluttered environment to navigate successfully to a goal while avoiding obstacles is a challenging problem. This paper presents a new behaviour-based architecture design for mapless navigation. The architecture is composed of several modules and each module generates behaviours. A novel method, inspired from a visual homing strategy, is adapted to a monocular vision-based system to overcome goal-based navigation problems. A neural network-ba

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Sun, Dezhi, Alessandro Cappellari, Bangyu Lan, Momen Abayazid, Stefano Stramigioli, and Kenan Niu. "Automatic Robotic Ultrasound for 3D Musculoskeletal Reconstruction: A Comprehensive Framework." Technologies 13, no. 2 (2025): 70. https://doi.org/10.3390/technologies13020070.

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Musculoskeletal ultrasound (US) imaging faces challenges such as operator experience, limited spatial flexibility, and high personnel costs. This study introduces an Automated Robotic Ultrasound Scanning (ARUS) system that integrates key technological advancements to automate the ultrasound scanning procedure with the robot, including anatomical target localization, automatic trajectory generation, deep-learning-based segmentation, and 3D reconstruction of musculoskeletal structures. The ARUS system consists of a robotic arm, ultrasound imaging, and stereo vision for precise anatomical area de

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Al Rashed, Mohammed Abdullah, and Tariq Pervez Sattar. "Inexpensive spatial position system for the automation of inspection with mobile robots." Industrial Robot: An International Journal 41, no. 6 (2014): 508–17. http://dx.doi.org/10.1108/ir-09-2014-0386.

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Purpose – The purpose of this paper is to develop a wireless positioning system. The automation of non-destructive testing (NDT) of large and complex geometry structures such as aircraft wings and fuselage is prohibitively expensive, though automation promises to improve on manual ultrasound testing. One inexpensive way to achieve automation is by using a small wall-climbing mobile robot to move a single ultrasound probe over the surface through a scanning trajectory defined by a qualified procedure. However, the problem is to guide the robot though the trajectory and know whether it has follo

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Zhang, Jianhui, Tianao Wang, Suming Chen, Shan Yue, and Guolei Wang. "3D Reconstruction Method of Carbon Fiber Reinforced Plastics Components Based on Pre-calibration Measurement Pose." Journal of Physics: Conference Series 2493, no. 1 (2023): 012018. http://dx.doi.org/10.1088/1742-6596/2493/1/012018.

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Abstract According to the surface reflection characteristics of carbon fiber reinforced plastics and the geometric characteristics of aircraft panel parts, a robot automatic measurement system based on line laser scanning is designed. The selection criteria of measurement pose and the pre-calibration method of measurement pose based on a laser tracker are given. A 3D reconstruction method of global stitching of large-scale parts based on pre-calibration measurement pose is proposed, Finally, the correctness and effectiveness of the proposed method are verified by measuring typical samples with

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Nguyen, Thanh Phuong, Hung Nguyen, and Ha Quang Thinh Ngo. "Visual application of navigation framework in cyber-physical system for mobile robot to prevent disease." International Journal of Advanced Robotic Systems 20, no. 2 (2023): 172988062311622. http://dx.doi.org/10.1177/17298806231162202.

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In this article, we propose the visual application of a navigation framework for a wheeled robot to disinfect surfaces. Since dynamic environments are complicated, advanced sensors are integrated into the hardware platform to enhance the navigation task. The 2D lidar UTM-30LX from Hokuyo attached to the front of the robot can cover a wide scanning area. To provide better results in laser scan matching, an inertial measurement unit was integrated into the robot’s body. The output of this combination feeds into a global costmap for monitoring and navigation. Additionally, incremental encoders th

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Mader, D., R. Blaskow, P. Westfeld, and H. G. Maas. "UAV-BASED ACQUISITION OF 3D POINT CLOUD – A COMPARISON OF A LOW-COST LASER SCANNER AND SFM-TOOLS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 19, 2015): 335–41. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-335-2015.

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The Project ADFEX (Adaptive Federative 3D Exploration of Multi Robot System) pursues the goal to develop a time- and cost-efficient system for exploration and monitoring task of unknown areas or buildings. A fleet of unmanned aerial vehicles equipped with appropriate sensors (laser scanner, RGB camera, near infrared camera, thermal camera) were designed and built. A typical operational scenario may include the exploration of the object or area of investigation by an UAV equipped with a laser scanning range finder to generate a rough point cloud in real time to provide an overview of the object

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Chen, Xiao, Guoxiang Liu, Zhuang Chen, et al. "Automatic detection system with 3D scanning and robot technology for detecting surface dimension of the track slabs." Automation in Construction 142 (October 2022): 104525. http://dx.doi.org/10.1016/j.autcon.2022.104525.

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Du, Hui, Xiaobo Chen, Juntong Xi, Chengyi Yu, and Bao Zhao. "Development and Verification of a Novel Robot-Integrated Fringe Projection 3D Scanning System for Large-Scale Metrology." Sensors 17, no. 12 (2017): 2886. http://dx.doi.org/10.3390/s17122886.

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Lesyk, Dmytro, Matej Hruska, Karina Sidun, Oleksandr Dаnylеikо, Dmytro Kyforenko, and Vitaliy Dzhemelinskyi. "SELECTIVE SURFACE HARDENING OF GEAR MECHANISM SHAFT BY ROBOTIC LASER 3D SYSTEM." Bulletin of the National Technical University «KhPI» Series: New solutions in modern technologies, no. 3(13) (October 26, 2022): 24–29. http://dx.doi.org/10.20998/2413-4295.2022.03.04.

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A robot-based laser 3D hardening method is proposed as a finishing operation to increase the wear resistance of the metal end-products. The laser hardening process of the surface layer of the products by changing its structure is one of the most effective methods of selective surface hardening. Thermal hardening of metals and alloys by laser radiation is based on local heating of a surface area under the influence of radiation and subsequent cooling of this surface area at a supercritical speed due to heat removal into the inner layers of the metal. The used robot-based laser 3D system (FANUC

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Zhou, Chang. "Research on Optimization Strategy of Surgical Robot CT Navigation System." Highlights in Science, Engineering and Technology 134 (March 30, 2025): 1–7. https://doi.org/10.54097/9e0th167.

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With the development of artificial intelligence, surgical robot technology based on computed tomography (CT) navigation system has been widely used in preoperative diagnosis and intraoperative positioning, improving the success rate of surgery. This paper aims to explore the optimization strategy of surgical robot CT navigation systems. In addition, this paper proposes a new CT navigation system optimization strategy that can be realized in the future to further improve the system's accuracy. The optimization of the CT navigation system mainly includes two aspects: the improvement of CT imagin

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Zhang, Gong, Jing Huang, Yueyu Wu, et al. "A Novel 3D Complex Welding Seam Tracking Method in Symmetrical Robotic MAG Welding Process Using a Laser Vision Sensing." Symmetry 15, no. 5 (2023): 1093. http://dx.doi.org/10.3390/sym15051093.

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The welding seam tracking operation ensures that the welding torch of the welding robot can go with the welding seam during the whole symmetrical robotic welding procession. To achieve three-dimensional complex welding seams tracking, a four-step welding seam tracking system is suggested based on segmented scanning, combined filtering, feature-point extraction, and welding path planning. From using the laser sensor installed at the end of welding robot, the welding seam data was continuously collected in multiple segments by segmented scanning. For the purpose of improving seam tracking accura

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Feng, Yiwen, Jiayang Zhao, Chuyu Wang, Lei Xie, and Sanglu Lu. "3D Bounding Box Estimation Based on COTS mmWave Radar via Moving Scanning." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, no. 4 (2024): 1–27. http://dx.doi.org/10.1145/3699758.

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Object boundary estimation, usually achieved by bounding box estimation, is crucial in various applications, such as intelligent driving, which facilitates further interactions like obstacle avoidance and navigation. Existing solutions mainly rely on computer vision, which often performs poorly in low-visibility conditions, e.g., harsh weather, and has limited resolution for depth estimation. Recent studies show the potential of mmWave radar for object detection. However, due to the inherent drawbacks, conventional mmWave techniques suffer from the severe interference of noise points in the po

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Jafri, Syed Riaz un Nabi, Syed Murtaza Hussain, Asif Ahmed, Syed Asher Hussain Rizvi, Kumayl Hassan Kazmi, and Jamshed Iqbal. "Compact rover surveying and laser scanning for BIM development." PLOS ONE 19, no. 3 (2024): e0301273. http://dx.doi.org/10.1371/journal.pone.0301273.

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This paper presents a custom made small rover based surveying, mapping and building information modeling solution. Majority of the commercially available mobile surveying systems are larger in size which restricts their maneuverability in the targeted indoor vicinities. Furthermore their functional cost is unaffordable for low budget projects belonging to developing markets. Keeping in view these challenges, an economical indigenous rover based scanning and mapping system has developed using orthogonal integration of two low cost RPLidar A1 laser scanners. All the instrumentation of the rover

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Piccinelli, Marco, Zhuoqi Cheng, Diego Dall'Alba, Michael Kjaer Schmidt, Thiusius Rajeeth Savarimuthu, and Paolo Fiorini. "3D Vision Based Robot Assisted Electrical Impedance Scanning for Soft Tissue Conductivity Sensing." IEEE Robotics and Automation Letters 7, no. 2 (2022): 4055–62. http://dx.doi.org/10.1109/lra.2022.3150481.

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Yang, Lin, Hongwei Ma, Zhen Nie, Heng Zhang, Zhongyang Wang, and Chuanwei Wang. "3D LiDAR Point Cloud Registration Based on IMU Preintegration in Coal Mine Roadways." Sensors 23, no. 7 (2023): 3473. http://dx.doi.org/10.3390/s23073473.

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Point cloud registration is the basis of real-time environment perception for robots using 3D LiDAR and is also the key to robust simultaneous localization and mapping (SLAM) for robots. Because LiDAR point clouds are characterized by local sparseness and motion distortion, the point cloud features of coal mine roadway environments show a weak texture and degradation. Therefore, for these environments, the traditional point cloud registration method to register directly will lead to problems, such as a decline in registration accuracy, z-axis drift, and map ghosting. To solve the above problem

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Qi, Lizhe, Zhongxue Gan, Jiankun Ren, et al. "Collaborative Measurement System of Dual Mobile Robots That Integrates Visual Tracking and 3D Measurement." Machines 10, no. 7 (2022): 540. http://dx.doi.org/10.3390/machines10070540.

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The manufacturing accuracy of large-scale complex components determines the performance and quality of aircraft, ships, high-speed rail, and other equipment. High-precision 3D measurement plays a crucial role in ensuring manufacturing accuracy. At present, the existing measurement methods rely heavily on manual labor, which cannot satisfy the requirements of industry quality and efficiency. This paper introduces an integrated mobile robotic measurement system for the accurate and automatic 3D measurement of large-scale components with complex curved surfaces. The system consists of the mobile

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Antolin-Urbaneja, Juan Carlos, Rakel Pacheco Goñi, Nerea Alberdi Olaizola, and Ana Isabel Luengo Pizarro. "Robotized 3D Scanning and Alignment Method for Dimensional Qualification of Big Parts Printed by Material Extrusion." Robotics 13, no. 12 (2024): 175. https://doi.org/10.3390/robotics13120175.

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Moulds for aeronautical applications must fulfil highly demanding requirements, including the geometrical tolerances before and after curing cycles at high temperatures and pressures. The growing availability of thermoplastic materials printed by material extrusion systems requires research to verify the geometrical accuracy after three-dimensional printing processes to assess whether the part can meet the required geometry through milling processes. In this sense, the application of automated techniques to assess quick and reliable measurements is an open point under this promising technology

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Wojciechowski, Jakub, and Marcin Suszynski. "Optical scanner assisted robotic assembly." Assembly Automation 37, no. 4 (2017): 434–41. http://dx.doi.org/10.1108/aa-07-2016-068.

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Purpose This paper aims to propose the method of automatic robotic assembly of two or more parts placed without fixing instrumentation and positioning on the pallet. Design/methodology/approach Assembly tasks performed by industrial robots are usually based on a constant program, extensive tooling, fixing objects in a given place and a relatively limited sensory system. In this study, a different approach is presented. The industrial robot program is adjusted to the location of parts for assembly in the work space. This leads to a transition from a clearly defined assembly sequence realized by

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Trybała, Paweł, Jarosław Szrek, Błażej Dębogórski, et al. "Analysis of Lidar Actuator System Influence on the Quality of Dense 3D Point Cloud Obtained with SLAM." Sensors 23, no. 2 (2023): 721. http://dx.doi.org/10.3390/s23020721.

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Mobile mapping technologies, based on techniques such as simultaneous localization and mapping (SLAM) and surface-from-motion (SfM), are being vigorously developed both in the scientific community and in industry. They are crucial concepts for automated 3D surveying and autonomous vehicles. For various applications, rotating multiline scanners, manufactured, for example, by Velodyne and Ouster, are utilized as the main sensor of the mapping hardware system. However, their principle of operation has a substantial drawback, as their scanning pattern creates natural gaps between the scanning line

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Tsygankov, Oleg, Dmytro Mishchuk, and Yevhen Mishchuk. "Analysis mobile fly area scanning systems." Gіrnichі, budіvelnі, dorozhnі ta melіorativnі mashini, no. 101 (October 10, 2023): 60–73. http://dx.doi.org/10.32347/gbdmm.2023.101.0502.

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The rapid development of intelligent microprocessor technology, the availability of global navigation systems (GPS) and inertial imaging units (IMU) with the progress of the creation of a new generation of mobile autonomous systems from a distance This is the concept of autonomous robots and unmanned aerial vehicles. Recently, actively using unmanned aerial vehicles (UAVs) and mobile robots, they are solving the tasks of photogrammetric and laser scanning of the terrain quite quickly. High spatial resolution data collected from available platforms such as satellites and manned aircraft are typ

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Zeng, Zhen, Chengzhao Jiang, Shanting Ding, Qinyang Li, Zhongsheng Zhai, and Daizhe Chen. "Trajectory Planning of Shape-Following Laser Cleaning Robot for the Aircraft Radar Radome Coating." Applied Sciences 14, no. 3 (2024): 1163. http://dx.doi.org/10.3390/app14031163.

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At present, aircraft radome coating cleaning mainly relies on manual and chemical methods. In view of this situation, this study presents a trajectory planning method based on a three-dimensional (3D) surface point cloud for a laser-enabled coating cleaning robot. An automated trajectory planning scheme is proposed to utilize 3D laser scanning to acquire point cloud data and avoid the dependence on traditional teaching–playback paradigms. A principal component analysis (PCA) algorithm incorporating additional principal direction determination for point cloud alignment is introduced to facilita

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Wu, W., C. Chen, J. Li, Y. Cong, and B. Yang. "SEGMENT-BASED LIDAR ODOMETRY FOR LESS STRUCTURED OUTDOOR SCENE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 535–40. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-535-2020.

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Abstract. Accurate registration of sparse sequential point clouds data frames acquired by a 3D light detection and ranging (LiDAR) sensor like VLP-16 is a prerequisite for the back-end optimization of general LiDAR SLAM algorithms to achieve a globally consistent map. This process is also called LiDAR odometry. Aiming to achieve lower drift and robust LiDAR odometry in less structured outdoor scene using a low-cost wheeled robot-borne laser scanning system, a segment-based sampling strategy for LiDAR odometry is proposed in this paper. Proposed method was tested in two typical less structured

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Hu, Difeng, Vincent J. L. Gan, and Chao Yin. "Robot-assisted mobile scanning for automated 3D reconstruction and point cloud semantic segmentation of building interiors." Automation in Construction 152 (August 2023): 104949. http://dx.doi.org/10.1016/j.autcon.2023.104949.

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Lu, Yichen, and Zheng Liao. "Towards Happy Housework: Scenario-Based Experience Design for a Household Cleaning Robotic System." ICST Transactions on Scalable Information Systems 10, no. 3 (2023): e12. http://dx.doi.org/10.4108/eetsis.v10i3.2950.

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INTRODUCTION: In the interwoven trend of the experience economy and advanced information technology, user experience becomes the substantial value of an interactive system. As one of the early innovations of a smart home, the current design of household cleaning robots is still driven by technology with a focus on pragmatic quality rather than the experiential value of a robotic system.OBJECTIVES: This paper aims to uplift the design vision of a cleaning robot from an automatic household appliance towards a meaningful robotic system engaging users in happy housework.METHODS: Theoretically, exp

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Yang, Menglong, and Katashi Nagao. "Automatic Reconstruction of Building-Scale Indoor 3D Environment with a Deep-Reinforcement-Learning-Based Mobile Robot." International Journal of Robotics and Automation Technology 6 (November 29, 2021): 11–23. http://dx.doi.org/10.31875/2409-9694.2019.06.2.

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The aim of this paper is to digitize the environments in which humans live, at low cost, and reconstruct highly accurate three-dimensional environments that are based on those in the real world. This three-dimensional content can be used such as for virtual reality environments and three-dimensional maps for automatic driving systems. In general, however, a three-dimensional environment must be carefully reconstructed by manually moving the sensors used to first scan the real environment on which the three-dimensional one is based. This is done so that every corner of an entire area can be mea

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Lemiasheuski, A., E. Bajer, G. Oder, et al. "Development of an automated 3D metallography system and some first application examples in microstructural analysis." Practical Metallography 60, no. 10 (2023): 676–91. http://dx.doi.org/10.1515/pm-2023-0057.

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Abstract Traditional metallography relies on the imaging of individual section planes. However, conclusions as to spatial shapes and microstructural arrangements can only be drawn to a limited extent. The idea to reconstruct three-dimensional microstructures from metallographic serial sections is therefore obvious and not at all new. However, the manual process of preparing a great number of individual sections and assembling them into image stacks is time-consuming and laborious and therefore constitutes an obstacle to frequent use. This is why the Federal Institute for Materials Research and

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Abayazid, Momen, Pedro Moreira, Navid Shahriari, Anastasios Zompas, and Sarthak Misra. "Three-Dimensional Needle Steering Using Automated Breast Volume Scanner (ABVS)." Journal of Medical Robotics Research 01, no. 01 (2016): 1640005. http://dx.doi.org/10.1142/s2424905x16400055.

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Robot-assisted and ultrasound-guided needle insertion systems assist in achieving high targeting accuracy for different applications. In this paper, we introduce the use of Automated Breast Volume Scanner (ABVS) for scanning different soft tissue phantoms. The ABVS is a commercial ultrasound transducer used for clinical breast scanning. A preoperative scan is performed for three-dimensional (3D) target localization and shape reconstruction. The ultrasound transducer is also adapted to be used for tracking the needle tip during steering toward the localized targets. The system uses the tracked

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Thinaharan Ramachandran, Sokchoo Ng, Vincent Tai, and Yong Chai Tan. "The Architecture of 3D Sensory Scanner System for Storing Shelf." Journal of Advanced Research in Applied Sciences and Engineering Technology 46, no. 2 (2024): 10–25. http://dx.doi.org/10.37934/araset.46.2.1025.

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The storage shelves are available in different sizes for storing objects in different shapes, colours, sizes and surfaces. Many technologies are available for transforming human-intensive jobs into machines, such as robots handling picking, placing and sorting, but these robots need datasets to process and handle effectively. A distance sensor is suitable to measure distances between objects and to obtain free spaces that are available in a shelf tier. A Light Detection and Ranging (LiDAR) sensor can measure distances better than Ultrasonic (US) and Infrared distance sensors (IR) because it ha

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