Advances in Robotics & Automation

Intravenous (IV) therapy plays an important role in modern healthcare, providing patients with a direct and efficient way to administer fluids, medications and nutrients. This paper examines the design and development of a new and innovative automated IV bag filling system, highlighting its main features and advantages it provides valuable insights into the various challenges faced on the use of IV bags and to maintain high quality throughout the procedure.

This paper introduces a novel automated system for counting and packaging, particularly tailored for the welding rod manufacturing industry. The research outlines the design and implementation of this system, emphasizing its capability to accurately count welding rods and efficiently package them utilizing conveyor technology. The integration of key components, including sensors and Programmable Logic Controllers (PLCs), is detailed to ensure precise counting and seamless packaging. The paper highlights the advantages of this system, along with challenges faced during development and a comparative analysis of manual versus automated packaging processes. It provides valuable insights and recommendations for industries considering similar conveyor-based counting and packaging solutions, with a focus on enhancing operational efficiency and costeffectiveness.

This paper delves into the cutting-edge realm of modern brain modelling, exploring revolutionary insights that have emerged in recent years. As advancements in technology and neuroscience converge, the field of brain modelling is undergoing a transformative shift, offering unprecedented opportunities for understanding and simulating the complexities of the human mind. This comprehensive review covers key developments, challenges and potential applications, providing a roadmap for researchers, practitioners, and enthusiasts alike. One of the most promising aspects of modern brain modelling lies in its applications to medicine. From aiding in the understanding of neurological disorders to facilitating drug discovery, brain models have the potential to revolutionize the field of neurology. Personalized medicine, driven by individualized brain models, could pave the way for targeted treatment strategies.

Electroencephalography (EEG) stands as a pivotal tool in neuroscience, enabling the non-invasive monitoring of brain activity through the detection of electrical signals. This article aims to demystify the intricacies of EEG, taking readers on a comprehensive journey into the realm of brainwave monitoring. The exploration begins with an overview of EEG's historical roots, delving into its evolution and milestones. The core principles underlying EEG technology, electrode placement, and signal interpretation are elucidated; shedding light on the science that transforms neural activity into readable waveforms. The article navigates through various applications of EEG, encompassing clinical diagnostics, neurofeedback, and cognitive research. Case studies highlight real-world instances where EEG has played a crucial role in unraveling the mysteries of the human mind. Emerging trends and technological advancements are also discussed, showcasing the cutting-edge developments shaping the future of EEG research.

This article explores the transformative journey of Brain-Computer Interfaces (BCIs) over the past decade, uncovering the latest developments propelling BCIs into a new era. From the evolution of BCI technology to the integration of neuroplasticity, cutting-edge electrode technologies, real-time neural feedback, and cognitive enhancement, we delve into the advancements shaping the future. Beyond medical applications, BCIs are expanding into diverse fields, showcasing their potential to turn thoughts into reality. The article also discusses the ethical implications of these developments. Join us on a journey through the next wave of BCI innovations that are poised to redefine the relationship between mind and machine.