Process management
Related papers: 20
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Process management in robotics and AI refers to the coordination, orchestration, and optimization of tasks, workflows, and operational sequences carried out by automated systems, robots, and human-machine teams. It encompasses how work is decomposed into subtasks, assigned to appropriate agents (human or robotic), monitored in real time, and adapted when conditions change. In industrial settings such as manufacturing, warehousing, and construction, process management enables autonomous mobile robots, collaborative robots, and AI systems to execute structured workflows reliably and efficiently. Techniques like Robotic Process Automation (RPA) extend this to business operations—automating repetitive, rules-based tasks in accounting, auditing, and service delivery. In multi-agent and human-autonomy teaming contexts, process management governs dynamic role assignment, supervisory control, and delegation strategies. Its importance lies in unlocking productivity gains across sectors, reducing operational errors, and enabling scalable digital transformation. As organizations integrate increasingly autonomous systems, robust process management frameworks become essential for ensuring safety, transparency, and effective collaboration between humans and machines.
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