Vol. 4 No. 1 (2025): Volume-IV, Number-I, 2025
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Autonomous Warehousing: Approach Robotic Systems in E-commerce Optimization A Machine-Learning
Abstract 21
E-commerce fulfilment has become a driving force behind recent advances in autonomous robotic systems for warehouses. Modern fulfilment centres combine heterogeneous fleets of autonomous mobile robots (AMRs), robotic manipulators, sensor networks, and digital twin simulations, coordinated by increasingly sophisticated machine learning (ML) controllers to meet strict service, cost, and safety re ... read more
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Neuro-Symbolic Robotics in Personalized Healthcare: From Diagnosis to Drug Delivery
Abstract 18
The integration of neuro-symbolic robotics into personalized healthcare represents a transformative approach to medical diagnostics, treatment planning, and drug delivery. By combining the adaptive learning capabilities of neural networks with the structured reasoning of symbolic AI, neuro-symbolic systems offer enhanced interpretability, robustness, and precision in clinical applications (Lu e ... read more
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Reinforcement Learning Quantum Neural Network Hybrids for Real-Time Supply-Chain Security: Methods, Threat Models, and a Research Roadmap
Abstract 20
Global supply chains are increasingly automated, instrumented, and interconnected creating opportunities for real-time optimization but also novel, rapidly evolving security threats (tampering, insider fraud, diversion, adversarial manipulation of sensors and models). Reinforcement learning (RL) has emerged as a powerful paradigm for sequential decision making in dynamic supply-chain environmen ... read more