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
Trust is vital to collaborative work between opera-tors and AI. Yet, important elements of its nature remain to be investigated, including the dynamic process of trust formation, growth, decline, and even death between a…
A smart door lock system based on IoT is presented which uses fingerprint biometric authentication, ESP32 microcontroller and Blynk IoT platform to provide a secure, user friendly and remote controllable access control s…
India, the second largest fish producer globally, contributes significantly to food security, nutrition, and economic development. Dried fish is a vital component of the fisheries value chain, especially in South Asia, y…
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…