Human-Robot Collaborations in Industrial Automation
Technology is changing the manufacturing world. For example, sensors are being used to track inventories from the manufacturing floor up to a retail shelf or a customer's door. These types of interconnected systems have been called the fourth industrial revolution, also known as Industry 4.0, a...
Format: | eBook |
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Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
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245 | 0 | 0 | |a Human-Robot Collaborations in Industrial Automation |
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520 | |a Technology is changing the manufacturing world. For example, sensors are being used to track inventories from the manufacturing floor up to a retail shelf or a customer's door. These types of interconnected systems have been called the fourth industrial revolution, also known as Industry 4.0, and are projected to lower manufacturing costs. As industry moves toward these integrated technologies and lower costs, engineers will need to connect these systems via the Internet of Things (IoT). These engineers will also need to design how these connected systems interact with humans. The focus of this Special Issue is the smart sensors used in these human-robot collaborations. | ||
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 adaptive optimal control | ||
653 | |a artificial intelligence | ||
653 | |a bidirectional awareness | ||
653 | |a collaborative robot | ||
653 | |a collaborative robots | ||
653 | |a collision detection | ||
653 | |a collision identification | ||
653 | |a contact task | ||
653 | |a deep learning | ||
653 | |a finger position recognition | ||
653 | |a game theory | ||
653 | |a grasp type estimation | ||
653 | |a haptic feedback device | ||
653 | |a high-speed image processing | ||
653 | |a human action recognition | ||
653 | |a human machine interface | ||
653 | |a human motion prediction | ||
653 | |a human robot collaboration | ||
653 | |a human robot interaction | ||
653 | |a human-centered robotics | ||
653 | |a human-following robots | ||
653 | |a human-machine differentiation | ||
653 | |a human-robot collaboration | ||
653 | |a human-robot collaboration | ||
653 | |a human-robot interaction | ||
653 | |a human-robot interaction | ||
653 | |a imitation learning | ||
653 | |a industrial automation | ||
653 | |a knowledge distillation | ||
653 | |a machine learning | ||
653 | |a motion planning | ||
653 | |a n/a | ||
653 | |a path planning | ||
653 | |a physical embodiment | ||
653 | |a physical human-robot interaction | ||
653 | |a protective separation distance | ||
653 | |a reinforcement learning | ||
653 | |a reward design | ||
653 | |a robot control | ||
653 | |a safe physical human-robot collaboration | ||
653 | |a social robotics | ||
653 | |a speed and separation monitoring | ||
653 | |a tandem force sensor | ||
653 | |a task planning | ||
653 | |a teleoperation | ||
653 | |a thermal cameras | ||
653 | |a traction force sensor | ||
653 | |a uncertainty estimation | ||
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856 | 4 | 0 | |u https://mdpi.com/books/pdfview/book/6105 |7 0 |z Open Access: DOAB, download the publication |