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Springer Advances in Human Factors in Robots, Unmanned Systems and Cybersecurity

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Description

This comprehensive academic volume explores the critical intersection of human factors engineering and robotics, addressing how to design safer, more reliable robotic and unmanned systems through improved human interaction. The book examines solutions for enhancing the perceptual and cognitive abilities of robots, developing effective synthetic vision systems, and managing reliability challenges in unmanned operations. It provides practical strategies for creating intuitive human-system interfaces that reduce cognitive workload whilst improving overall performance, alongside methods for predicting robotic behaviour in relation to human activities. Part of the Lecture Notes in Networks and Systems series (volume 268), this proceedings collection from the AHFE 2021 Virtual Conferences synthesises research and real-world applications from leading experts in robotics, cybersecurity, and human factors design, making it essential for researchers, engineers, and practitioners working at the intersection of autonomous systems and human-centred design.

Key Features

Examines human factors principles essential for developing safe and reliable robotic and unmanned systems across multiple industries and applications.

Addresses synthetic vision system design and perceptual enhancement techniques that enable robots to better understand and interact with their environment.

Presents strategies for designing intuitive human-system interfaces that minimise cognitive workload and improve user performance during robotic operations.

Covers predictive models for anticipating robotic behaviour in relation to human activities, supporting safer human-robot collaboration and deployment.

Collects proceedings from the AHFE 2021 Virtual Conferences, delivering peer-reviewed research from leading experts in robotics and cybersecurity.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 June 2021
Listed Since
27 May 2021

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