Advances in Human Factors in Robots and Unmanned Systems (eBook, PDF)
Proceedings of the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, July 17−21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA
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Advances in Human Factors in Robots and Unmanned Systems (eBook, PDF)
Proceedings of the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, July 17−21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA
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This book focuses on the importance of human factors in the development of safe and reliable unmanned systems. It discusses current challenges such as how to improve the perceptual and cognitive abilities of robots, develop suitable synthetic vision systems, cope with degraded reliability in unmanned systems, predict robotic behavior in case of a loss of communication, the vision for future soldier-robot teams, human-agent teaming, real-world implications for human-robot interaction, and approaches to standardize both the display and control of technologies across unmanned systems. Based on…mehr
This book focuses on the importance of human factors in the development of safe and reliable unmanned systems. It discusses current challenges such as how to improve the perceptual and cognitive abilities of robots, develop suitable synthetic vision systems, cope with degraded reliability in unmanned systems, predict robotic behavior in case of a loss of communication, the vision for future soldier-robot teams, human-agent teaming, real-world implications for human-robot interaction, and approaches to standardize both the display and control of technologies across unmanned systems. Based on the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, held on July 17–21 in Los Angeles, California, USA, this book is expected to foster new discussion and stimulate new advances in the development of more reliable, safer, and highly functional devices for carrying out automated and concurrent tasks.
A model for temperament and emotions on robots.- Spatial understanding as a common basis for human-robot collaboration.- Issues and advances in anomaly detection evaluation for joint human-automated systems.- UAS detect and avoid – alert times and pilot performance in remaining well clear.- How close is close enough? Temporal matching between visual and tactile signaling.- Human robot team development: An operational and technical perspective.- Toward an “equal-footing” human-robot interaction for fully autonomous vehicles.
A model for temperament and emotions on robots.- Spatial understanding as a common basis for human-robot collaboration.- Issues and advances in anomaly detection evaluation for joint human-automated systems.- UAS detect and avoid - alert times and pilot performance in remaining well clear.- How close is close enough? Temporal matching between visual and tactile signaling.- Human robot team development: An operational and technical perspective.- Toward an "equal-footing" human-robot interaction for fully autonomous vehicles.
A model for temperament and emotions on robots.- Spatial understanding as a common basis for human-robot collaboration.- Issues and advances in anomaly detection evaluation for joint human-automated systems.- UAS detect and avoid – alert times and pilot performance in remaining well clear.- How close is close enough? Temporal matching between visual and tactile signaling.- Human robot team development: An operational and technical perspective.- Toward an “equal-footing” human-robot interaction for fully autonomous vehicles.
A model for temperament and emotions on robots.- Spatial understanding as a common basis for human-robot collaboration.- Issues and advances in anomaly detection evaluation for joint human-automated systems.- UAS detect and avoid - alert times and pilot performance in remaining well clear.- How close is close enough? Temporal matching between visual and tactile signaling.- Human robot team development: An operational and technical perspective.- Toward an "equal-footing" human-robot interaction for fully autonomous vehicles.
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