Identity management

Related papers: 6

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Identity management refers to the frameworks, technologies, and processes used to identify, authenticate, and control access for individuals or entities within a system. In robotics and AI, identity management encompasses how robots and intelligent systems recognize users, verify their credentials, and maintain secure, consistent records of who is interacting with the system. This includes techniques such as biometric authentication, face recognition, sensor fusion, and edge computing-based privacy protection to ensure that only authorized users can access sensitive capabilities or data. Identity management matters in robotics and AI because robots increasingly operate in dynamic, multi-user environments — from healthcare to smart homes to industrial settings — where correctly identifying individuals is critical for both safety and personalization. For instance, a care robot must reliably distinguish between patients and caregivers to deliver appropriate responses, while an IoT-connected system must authenticate devices to prevent unauthorized access. As systems become more interconnected, robust identity management becomes essential for protecting privacy, ensuring regulatory compliance, and building user trust in autonomous and intelligent systems.

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