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...
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Format: | Electronic Book Chapter |
Language: | English |
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Basel
MDPI - Multidisciplinary Digital Publishing Institute
2022
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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042 | |a dc | ||
072 | 7 | |a TB |2 bicssc | |
072 | 7 | |a TBX |2 bicssc | |
100 | 1 | |a Božek, Pavol |4 edt | |
700 | 1 | |a Krenicky, Tibor |4 edt | |
700 | 1 | |a Nikitin, Yury |4 edt | |
700 | 1 | |a Božek, Pavol |4 oth | |
700 | 1 | |a Krenicky, Tibor |4 oth | |
700 | 1 | |a Nikitin, Yury |4 oth | |
245 | 1 | 0 | |a Automation and Robotics: Latest Achievements, Challenges and Prospects |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2022 | ||
300 | |a 1 electronic 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 |2 star |f Unrestricted online access | |
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 |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Technology: general issues |2 bicssc | |
650 | 7 | |a History of engineering & technology |2 bicssc | |
653 | |a underground robots | ||
653 | |a automation in mines | ||
653 | |a remote control | ||
653 | |a autonomous underground machinery | ||
653 | |a robotic manipulator | ||
653 | |a identification | ||
653 | |a calibration | ||
653 | |a Jacobian | ||
653 | |a workcell layout detection | ||
653 | |a QR code detection | ||
653 | |a adaptive thresholding | ||
653 | |a finder pattern | ||
653 | |a perspective transformation | ||
653 | |a smart buildings | ||
653 | |a shared sensory system | ||
653 | |a surveillance system | ||
653 | |a localization | ||
653 | |a marker detection | ||
653 | |a manipulation | ||
653 | |a design | ||
653 | |a analytical calculation | ||
653 | |a numerical analysis | ||
653 | |a manipulation platform | ||
653 | |a 3D deformable object | ||
653 | |a grasping | ||
653 | |a robust manipulation | ||
653 | |a robot hand | ||
653 | |a Matlab | ||
653 | |a CoppeliaSim Edu | ||
653 | |a V-Rep | ||
653 | |a SolidWorks | ||
653 | |a kinematics | ||
653 | |a inverse kinematics (IK) | ||
653 | |a manufacturing technology | ||
653 | |a modular robots | ||
653 | |a coordinate transformation | ||
653 | |a industrial robot | ||
653 | |a renishaw Ballbar QC20-W | ||
653 | |a positional analysis | ||
653 | |a measurement | ||
653 | |a visual semantic SLAM | ||
653 | |a semantic segmentation | ||
653 | |a FPGA | ||
653 | |a hardware acceleration | ||
653 | |a mobile robots | ||
653 | |a automated machining | ||
653 | |a milling strategies | ||
653 | |a geometrical tolerances | ||
653 | |a assisted assembly | ||
653 | |a mixed reality | ||
653 | |a collaborative robot | ||
653 | |a digital twin | ||
653 | |a convolutional neural networks | ||
653 | |a planar robotic arm | ||
653 | |a pneumatic artificial muscle (PAM) | ||
653 | |a gravity test | ||
653 | |a dynamic model | ||
653 | |a validation | ||
653 | |a optimization | ||
653 | |a trust region algorithm | ||
653 | |a chimney | ||
653 | |a cleaning | ||
653 | |a in-pipe robot | ||
653 | |a pneumatic actuator | ||
653 | |a simulation | ||
653 | |a pre-identification | ||
653 | |a least squares method | ||
653 | |a instrumental variable method | ||
653 | |a robotics | ||
653 | |a sensor | ||
653 | |a antagonistic system | ||
653 | |a pneumatic artificial muscles | ||
653 | |a function | ||
653 | |a model | ||
653 | |a trajectory planning method | ||
653 | |a hexapod robots | ||
653 | |a legged robots | ||
653 | |a triangle gait | ||
653 | |a automation | ||
653 | |a drives | ||
653 | |a actuators | ||
653 | |a sensors | ||
653 | |a diagnostics | ||
653 | |a holography | ||
653 | |a virtual instrumentation | ||
653 | |a control systems | ||
653 | |a robot navigation | ||
653 | |a reverse validation | ||
653 | |a trajectory control | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/5441 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/84458 |7 0 |z DOAB: description of the publication |