Quality (philosophy)
Related papers: 20
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Quality, in the philosophical and engineering sense, refers to the degree of excellence, fitness for purpose, or desirable characteristics that a system, process, or outcome possesses. In robotics and AI, quality manifests across multiple dimensions: the precision and reliability of physical manipulation, the responsiveness and accuracy of perception systems, the caliber of human-robot social interaction, and the trustworthiness of algorithmic decision-making. Engineers evaluate quality through measurable metrics such as grasp stability, task completion rates, service satisfaction scores, and explainability of AI outputs, while also considering softer dimensions like empathy, naturalness of interaction, and patient outcomes in medical robotics. The concept extends to evolutionary computation through "quality diversity" frameworks, where systems are optimized not just for peak performance but for generating a broad repertoire of high-performing solutions. Quality matters because it directly determines whether robotic and AI systems are safe, trustworthy, and genuinely beneficial—particularly in high-stakes domains like healthcare, elder care, surgical robotics, and industrial automation—bridging the gap between technical capability and real-world human acceptance.
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