This work explores additive manufacturing (AM) of concrete by using a six-axis robotic arm and its use in large-scale, autonomous concrete construction. Concrete AM uses an extrusion method to deposit concrete beads in layers to create a three-dimensional (3D) shape. This method has been found to have many uses and advantages in construction applications. The lack of formwork and autonomous nature of this manufacturing method allows for new geometries and materials to be printed in unsafe or challenging environments. Autonomous construction has been suggested as a method of creating habitats in rapid-response scenarios. This article discusses research toward one such system that could be used to rapidly construct necessary habitats in response to low-resource and emergency situations. This required addressing certain limitations of a six-axis robotic arm platform along with overcoming system challenges to achieve deliverables for NASA's "3D Printed Habitat Challenge." This included system design to increase the build volume, integrate embedding, print non-coplanar sections, and minimize travel moves to address the challenges associated with continuous extrusion of cementitious material. The system was demonstrated by printing a one-third scale habitat, which represents the first 3d-printed fully enclosed structure at an architectural scale without the use of support.
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http://dx.doi.org/10.1089/3dp.2020.0335 | DOI Listing |
PLoS One
January 2025
Nantong Institute of Technology, Nantong, Jiangsu Province, China.
Vehicle-mounted flexible robotic arms (VFRAs) are crucial in enhancing operational capabilities in sectors where human intervention is limited due to accessibility or safety concerns, such as hazardous environments or precision surgery. This paper introduces the latest generation of VFRAs that utilize advanced soft materials and are designed with elongated structures to provide greater flexibility and control. We present a novel mathematical model, derived using Hamilton's principle, which simplifies the analysis of the arm's dynamic behaviors by employing partial differential equations (PDEs).
View Article and Find Full Text PDFSensors (Basel)
December 2024
Antal Bejczy Center for Intelligent Robotics, Obuda University, 1034 Budapest, Hungary.
This paper presents a robust and efficient method for validating the accuracy of orientation sensors commonly used in practical applications, leveraging measurements from a commercial robotic manipulator as a high-precision reference. The key concept lies in determining the rotational transformations between the robot's base frame and the sensor's reference, as well as between the TCP (Tool Center Point) frame and the sensor frame, without requiring precise alignment. Key advantages of the proposed method include its independence from the exact measurement of rotations between the reference instrumentation and the sensor, systematic testing capabilities, and the ability to produce repeatable excitation patterns under controlled conditions.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun 130022, China.
In industrial applications, robotic arm grasp detection tasks frequently suffer from inadequate accuracy and success rates, which result in reduced operational efficiency. Although existing methods have achieved some success, limitations remain in terms of detection accuracy, real-time performance, and generalization ability. To address these challenges, this paper proposes an enhanced grasp detection model, G-RCenterNet, based on the CenterNet framework.
View Article and Find Full Text PDFMicromachines (Basel)
November 2024
Department of Mechanical Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia.
In robotic arm controllers, the ability to shift signal levels is crucial for interfacing between different voltage domains in a processor. The level shifter (LS) has been used to convert signals operating near threshold voltage to signals operating well above the threshold voltage. Researchers have developed current mirror-based LSs to employ current mirrors, which duplicate the current from one transistor and accurately replicate it in another, ensuring precise current matching.
View Article and Find Full Text PDFJ Clin Med
December 2024
IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.
Despite the increase in home-based rehabilitation, outcome measures for telerehabilitation are still underdeveloped. The Fugl-Meyer Assessment (FMA) is one of the most widely used tools for evaluating post-stroke motor deficits, with the upper extremity component (FMA-UE) recommended for assessing motor deficits of the arm. This study aims to examine the intrarater and interrater reliability of the Italian version of the FMA-UE, administered remotely via video conferencing during a robotic telerehabilitation program.
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