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
Vision-guided robotic positioning plays a critical role in modern manufacturing by enabling robots to accurately adapt to variations in workpiece position. This study proposes a coordinate transformation framework for au…
Industrial robots are increasingly required to operate in flexible manufacturing environments where conventional offline programming and manually defined working positions limit production adaptability. This study presen…
Human-guided quadruped locomotion requires re-liable intent inference and safe authority allocation under un-certain interaction and uneven terrain. This study proposes an uncertainty-adaptive shared-control framework wi…
Air Traffic Management is becoming increasingly complex due to the continuous growth in air traffic demand and the variability of weather conditions. Traditional aircraft separation standards rely on fixed minimum distan…
This study presents an expert-based evaluation of a proposed context-aware ERP model designed to support adaptive legal compliance in multilingual regulatory environments, with a focus on North Macedonia. The model integ…
We propose an extension to Zynerator, a Model-Driven Architecture framework for automated microservice generation, that embeds DevSecOps principles directly at the modeling stage through semantic decorators. These decora…
To translate robotics recruitment texts into an interpretable competency taxonomy, this study explored how latent topics can be induced from large-scale job advertisements and used to construct a structured competency ta…
Automotive seat cover assembly entails the manual collection of plastic J-shaped clips from boxes located at a non-ergonomic distance from the sewing stations. Operators are compelled to inadvertently pick up multiple co…
This study examines the adoption of digital technologies and artificial intelligence (AI) in Slovak firms, with particular attention to technological integration, employee adaptation, and organizational change. The study…
Television companies face significant problems in managing advertising orders due to manual processes that cause transcription errors, delays, and a lack of traceability. This study proposes a web application based on cl…
