Robot learning of manipulation skills is hindered by the scarcity of diverse, unbiased
datasets. While curated datasets can help, challenges remain in generalizability and real …

Reinforcement learning (RL) has emerged as a dynamic and transformative paradigm in
artificial intelligence, offering the promise of intelligent decision-making in complex and …

With the exponential growth of medical data, Machine Learning (ML) algorithms are
becoming increasingly important to the management and organization of healthcare …

The present study developed a Detection Android cybercrime Model (DACM), deploying the
design science approach to detect different Android-related cybercrimes. The developed …

This research paper proposes a novel robotic gripper that combines rigid and soft
components. The challenge of developing robotic grippers that can safely handle a wide …

With integration of collaborative robotics, robotic vision, and machine learning, the high-end
frontier reached in assistive robotics is likely to help develop promising solutions to the …