Automation and Robotics: Latest Achievements, Challenges and Prospects
This SI presents the latest achievements, challenges and prospects for drives, actuators, sensors, controls and robot navigation with reverse validation and applications in the field of industrial automation and robotics. Automation, supported by robotics, can effectively speed up and improve produc...
Format: | eBook |
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Language: | English |
Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2022
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Subjects: | |
Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
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042 | |a dc | ||
072 | 7 | |a TB |2 bicssc | |
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720 | 1 | |a Božek, Pavol |4 edt | |
720 | 1 | |a Božek, Pavol |4 oth | |
720 | 1 | |a Krenicky, Tibor |4 edt | |
720 | 1 | |a Krenicky, Tibor |4 oth | |
720 | 1 | |a Nikitin, Yury |4 edt | |
720 | 1 | |a Nikitin, Yury |4 oth | |
245 | 0 | 0 | |a Automation and Robotics: Latest Achievements, Challenges and Prospects |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2022 | ||
300 | |a 1 online resource (290 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |f Unrestricted online access |2 star | |
520 | |a This SI presents the latest achievements, challenges and prospects for drives, actuators, sensors, controls and robot navigation with reverse validation and applications in the field of industrial automation and robotics. Automation, supported by robotics, can effectively speed up and improve production. The industrialization of complex mechatronic components, especially robots, requires a large number of special processes already in the pre-production stage provided by modelling and simulation. This area of research from the very beginning includes drives, process technology, actuators, sensors, control systems and all connections in mechatronic systems. Automation and robotics form broad-spectrum areas of research, which are tightly interconnected. To reduce costs in the pre-production stage and to reduce production preparation time, it is necessary to solve complex tasks in the form of simulation with the use of standard software products and new technologies that allow, for example, machine vision and other imaging tools to examine new physical contexts, dependencies and connections. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |u https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a History of engineering & technology |2 bicssc | |
650 | 7 | |a Technology: general issues |2 bicssc | |
653 | |a 3D deformable object | ||
653 | |a actuators | ||
653 | |a adaptive thresholding | ||
653 | |a analytical calculation | ||
653 | |a antagonistic system | ||
653 | |a assisted assembly | ||
653 | |a automated machining | ||
653 | |a automation | ||
653 | |a automation in mines | ||
653 | |a autonomous underground machinery | ||
653 | |a calibration | ||
653 | |a chimney | ||
653 | |a cleaning | ||
653 | |a collaborative robot | ||
653 | |a control systems | ||
653 | |a convolutional neural networks | ||
653 | |a coordinate transformation | ||
653 | |a CoppeliaSim Edu | ||
653 | |a design | ||
653 | |a diagnostics | ||
653 | |a digital twin | ||
653 | |a drives | ||
653 | |a dynamic model | ||
653 | |a finder pattern | ||
653 | |a FPGA | ||
653 | |a function | ||
653 | |a geometrical tolerances | ||
653 | |a grasping | ||
653 | |a gravity test | ||
653 | |a hardware acceleration | ||
653 | |a hexapod robots | ||
653 | |a holography | ||
653 | |a identification | ||
653 | |a in-pipe robot | ||
653 | |a industrial robot | ||
653 | |a instrumental variable method | ||
653 | |a inverse kinematics (IK) | ||
653 | |a Jacobian | ||
653 | |a kinematics | ||
653 | |a least squares method | ||
653 | |a legged robots | ||
653 | |a localization | ||
653 | |a manipulation | ||
653 | |a manipulation platform | ||
653 | |a manufacturing technology | ||
653 | |a marker detection | ||
653 | |a Matlab | ||
653 | |a measurement | ||
653 | |a milling strategies | ||
653 | |a mixed reality | ||
653 | |a mobile robots | ||
653 | |a model | ||
653 | |a modular robots | ||
653 | |a numerical analysis | ||
653 | |a optimization | ||
653 | |a perspective transformation | ||
653 | |a planar robotic arm | ||
653 | |a pneumatic actuator | ||
653 | |a pneumatic artificial muscle (PAM) | ||
653 | |a pneumatic artificial muscles | ||
653 | |a positional analysis | ||
653 | |a pre-identification | ||
653 | |a QR code detection | ||
653 | |a remote control | ||
653 | |a renishaw Ballbar QC20-W | ||
653 | |a reverse validation | ||
653 | |a robot hand | ||
653 | |a robot navigation | ||
653 | |a robotic manipulator | ||
653 | |a robotics | ||
653 | |a robust manipulation | ||
653 | |a semantic segmentation | ||
653 | |a sensor | ||
653 | |a sensors | ||
653 | |a shared sensory system | ||
653 | |a simulation | ||
653 | |a smart buildings | ||
653 | |a SolidWorks | ||
653 | |a surveillance system | ||
653 | |a trajectory control | ||
653 | |a trajectory planning method | ||
653 | |a triangle gait | ||
653 | |a trust region algorithm | ||
653 | |a underground robots | ||
653 | |a V-Rep | ||
653 | |a validation | ||
653 | |a virtual instrumentation | ||
653 | |a visual semantic SLAM | ||
653 | |a workcell layout detection | ||
793 | 0 | |a DOAB Library. | |
856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/84458 |7 0 |z Open Access: DOAB: description of the publication |
856 | 4 | 0 | |u https://mdpi.com/books/pdfview/book/5441 |7 0 |z Open Access: DOAB, download the publication |