“Human-Robot Collaboration” explores how humans and robots can safely and efficiently work together, particularly in manufacturing and research settings, offering insights into the future of work. It emphasizes the need for a holistic approach that combines technological advancements with ergonomic design, robust safety measures, and comprehensive employee training, moving beyond simply introducing robots into the workspace. The book reveals how collaborative robots, or cobots, can lead to increased throughput and improved job satisfaction if implemented thoughtfully. This book argues that successful human-robot collaboration hinges on a well-planned integration strategy. It progresses from establishing the historical context of industrial automation to examining workspace design, sensor technologies, and safety algorithms. Case studies from industries like automotive manufacturing and pharmaceutical research highlight best practices, while the book also addresses the ethical implications of automation, advocating for retraining and upskilling programs to mitigate job displacement. By integrating principles from industrial engineering, human-computer interaction, and occupational health and safety, the book offers a multifaceted perspective. It uniquely emphasizes a human-centered approach to automation, ultimately prioritizing the well-being and empowerment of human workers in collaborative environments. The book utilizes a mixed-methods approach, combining quantitative data analysis with qualitative case studies.
