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 October 2026
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…
This paper delves into the progressive design and operational capabilities of advanced robotic platforms, highlighting their adaptability, precision, and utility in diverse industrial settings. Anchored by a robust modul…
In order to improve the efficiency of automatic book classification, the study uses a crawler to crawl book data from regular websites and perform data cleaning and fusion to build a structured knowledge graph. Meanwhile…
Ablation represents a minimally invasive option for liver cancer treatment, commonly guided by imaging techniques such as ultrasound. Recently, there has been a surge in interest in semi-automated or fully automated robo…
This study investigated perception technology of an autonomous driving system to enable independent connection between an aircraft and a boarding bridge. GigE video sensors and solid-state lidars were installed on the ca…
Due to rapid and advanced technology, home automation has gained popularity, making daily life easier. Digitalization and automation have encompassed a wide range of activities and industries. IoT will make home automati…
The integration of IoT systems in agriculture has become a very important need amid the high population and increasingly limited farmland, which demands researchers to be more innovative in addressing these issues. Using…
For years, Level 2 vehicle automation systems (VAS) have been commercially available, yet the extent to which users comprehend their capabilities and limitations remains largely unclear. This study aimed to evaluate user…