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
Large Language Models (LLMs) that are enhanced with Retrieval-Augmented Generation(RAG) can aid in internal auditing, particularly in search and analysis of documents. However, in general, most RAG-based audit tools focu…
This study proposes a hybrid modeling and control framework for intelligent wheelchair systems that integrates formal methods with adaptive artificial intelligence to ensure safety, robustness, and real-time performance.…
Global crises, such as pandemics and climate-related disasters, place unprecedented strain on healthcare Systems, exposing weaknesses in resource management and patient care. This study aims to address these challenges b…
This study presents the design, development, and evaluation of an intelligent fruit-picking robot that integrates convolutional vision, adaptive gripping mechanisms, and kinematic control to enable automated harvesting i…
The rapid expansion of Business Process Outsourcing (BPO) has transformed the global services economy, and Albania is emerging as a competitive nearshoring destination in the Western Balkans. This study examines the inte…
Manual test case generation for agile software development is a critical bottleneck that is costly, inconsistent, and error-prone. This study introduces a prompt-engineering and multi-level orchestration framework to aut…
This paper presents a comprehensive Model-Driven Engineering (MDE) methodology for automatically transforming Business Process Model and Notation (BPMN) diagrams into executable blockchain-based smart contracts. The prop…
Environmental, Social, and Governance (ESG) in-formation has become an essential component in evaluating corporate responsibility and long-term resilience. However, its incremental value in predicting firm profitability…
Large Language Models (LLMs) are increasingly integrated into software engineering workflows, yet existing studies provide fragmented or domain-specific examinations of their impact. This survey aims to systematically an…
Cerebrovascular accidents (CVA) cause hemiplegia in adult patients, limiting their daily activities and reducing their autonomy, which calls for effective rehabilitation systems for the lower limbs. The study aims to des…