The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
Robotics and automation is the interdisciplinary field concerned with designing, building, and programming machines that can sense their environment, make decisions, and perform physical tasks with reduced or no human intervention. It draws on mechanical and electrical engineering for actuators and sensors, control theory for motion planning and stability, and artificial intelligence for perception, decision-making, and adaptive behavior. Key research areas include simultaneous localization and mapping for navigation, computer vision for object recognition and manipulation, human-robot interaction, swarm robotics, and reinforcement learning for control policies. Adoption of vision-language-action models in robotics reportedly tripled between 2025 and 2026 and is now present in roughly 40 percent of new robot deployments, reflecting rapid progress in perception and control research. Applications span industrial automation and manufacturing, autonomous vehicles and drones, agricultural robotics, warehouse logistics, and assistive and surgical robotics in healthcare. As an open-access robotics journal, IJACSA covers robotics and automation research spanning control algorithms, perception systems, and applied automation across industrial and service domains.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed September 2026
Robotic Process Automation (RPA) has emerged as a transformative technology in the service sector, enabling organizations to automate repetitive and rule-based tasks with minimal human intervention. This study investigat…
This study investigates the current state and future directions of cooperative scheduling optimization for multiple robots in smart warehousing environments. With the rapid growth of logistics automation, optimizing the…
Localization is crucial for robots to navigate autonomously in agricultural environments. This paper introduces an improved Adaptive Monte Carlo Localization (AMCL) algorithm integrated with the Normal Distributions Tran…
Autonomous ground vehicles play a crucial role in the Internet of Things, offering transformative potential for applications such as urban transportation and delivery services. These vehicles can operate autonomously in…
Reinforcement Learning (RL) has become a rapidly advancing field inside Artificial Intelligence (AI) and self-sufficient structures, revolutionizing the manner in which machines analyze and make selections. Over the past…
In the current research, the application verification of traditional algorithms in actual accounting management is insufficient, and deep learning data processing capabilities need to be fully optimized in complex accoun…
Integrating artificial intelligence (AI) and computer vision in sports analytics has transformed decision-making pro-cesses, enhancing fairness and efficiency. This paper proposes a novel AI-driven image recognition syst…
Machine learning models (MLMs) are used in industry to automate complicated activities, minimize human error, and improve decision-making by evaluating large volumes of data in real time. To managing inventory and qualit…
Proficiency in programming is crucial for driving the Fourth Industrial Revolution. Therefore, interest in programming needs to be instilled in students starting from the school level. While the use of robotics can attra…
This paper presents the development and evaluation of a medical service robot equipped with 3D LiDAR and advanced localization capabilities tailored for use in hospital environments. The robot employs LiDAR-based Simulta…
