Human-Robot Collaborations in Industrial Automation

• Autore: Schmitz Anne
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (228 p.)
• Soggetto topico: History of engineering & technology; Technology: general issues
• Soggetto non controllato: adaptive optimal control; artificial intelligence; bidirectional awareness; collaborative robot; collaborative robots; collision detection; collision identification; contact task; deep learning; finger position recognition; game theory; grasp type estimation; haptic feedback device; high-speed image processing; human action recognition; human machine interface; human motion prediction; human robot collaboration; human robot interaction; human-centered robotics; human-following robots; human-machine differentiation; human-robot collaboration; human-robot interaction; imitation learning; industrial automation; knowledge distillation; machine learning; motion planning; n/a; path planning; physical embodiment; physical human-robot interaction; protective separation distance; reinforcement learning; reward design; robot control; safe physical human-robot collaboration; social robotics; speed and separation monitoring; tandem force sensor; task planning; teleoperation; thermal cameras; traction force sensor; uncertainty estimation
• Persona (resp. second.): SchmitzAnne
• Sommario/riassunto: 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.
• Titolo autorizzato: Human-Robot Collaborations in Industrial Automation
• ISBN: 3-0365-5214-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910619465903321
• Lo trovi qui: Univ. Federico II