Reviewer Recruitment – Join Our Editorial Mission
2025-05-13
The Robotics, Autonomous, Machine Learning, and Artificial intelligence Journal is expanding its pool of expert reviewers.
Announcements
Announcements
RAMLAIJ Now Indexed in Google Scholar
2025-05-13
Great news! The Robotics, Autonomous, Machine Learning, and Artificial intelligence Journal is now indexed in Google Scholar.
Call for Papers – Upcoming Issue
2025-05-13
We are pleased to invite researchers, scholars, and professionals to submit original research articles, review papers.
Current Issue
Vol. 3 No. 1 (2025): Volume-III, Number-I, 2025
-
Autonomous Robotic Systems in E-commerce Warehousing: A Machine-Learning Optimization Approach
Abstract 50
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
-
Neuro-Symbolic Robotics in Personalized Healthcare: From Diagnosis to Drug Delivery
Abstract 46
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
-
Reinforcement Learning Quantum Neural Network Hybrids for Real-Time Supply-Chain Security: Methods, Threat Models, and a Research Roadmap
Abstract 57
Abstract
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 dy ... read more