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38 articles for “Autonomous Control”
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A Detailed Review on Intelligent and Robust Control Strategies for Autonomous Underwater Vehicles with Emphasis on Navigation, Path Tracking, and Stability Enhancement
Abstract: Autonomous Underwater Vehicles (AUVs) have gained significant attention due to their applications in ocean exploration, underwater surveillance, environmental monitoring, and offshore industries. The control of AUVs presents various challenges due to the highly dynamic and uncertain underwater environment, nonlinear hydrodynamics, and external disturbances. This review paper explores various control strategies employed for AUVs, including classical control methods such as Proportional-Integral-Derivative (PID) controllers, modern techniques like Model Predictive Control (MPC), and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 28–52 Read article
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Isolated Bidirectional Flyback Converter in EV Charging and V2G Systems: A State-of-the-Art-Review
Abstract: The growing adoption of electric vehicles (EVs) and the potential of Vehicle-to-Grid (V2G) technology underscore the importance of efficient and reliable isolated bidirectional DC-DC converters in EV charging systems. The market for electric vehicles (EVs) is expanding at an exponential rate due to the worldwide trend towards sustainable transportation, with electric mobility emerging as a crucial way to lower carbon emissions and rely less on fossil fuels. This review examines …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 2, 2024 · pp. 23–32 Read article
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An Arduino-Based Autonomous Serving Robot with GPS Navigation for Cost-Effective Service Automation
Abstract: Robots built for service are no longer confined to research labs or luxury hotels; they are starting to appear in everyday spaces where speed and consistency make a real difference. In a restaurant, for example, a robot that can deliver meals and clear trays reduces staff workload, while in hospitals it can free nurses from routine errands. Schools, too, can benefit by using such machines for both practical and teaching …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 Read article
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Attitude Control System for Flight: A Comprehensive Review
Abstract: Attitude control systems is an integral part of flight control systems because they are responsible for the stability and maneuverability of different airborne vehicles within all flight regimes. The following paper presents an extensive overview of attitude control systems that are commonly in use in various flight applications and examines their design implementation, and performance on the space. The paper starts with a general overview of the main mechanisms of …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 8–14 Read article
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Smart Lane Following and Mobile Controlled Robotic Car
Abstract: One major development in autonomous vehicle technology is the emergence of mobile-controlled robotic cars and smart lane-following vehicles. To improve user control and vehicle autonomy, these systems integrate mobile technology, computer vision, and machine learning. This review work highlights the potential of mobile-controlled and smart lane-following robotic automobiles to transform transportation and related sectors by examining their design, functioning, applications, and obstacles. Autonomous driving relies heavily on smart lane-following technology, …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 1, 2024 · pp. 36–47 Read article
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SoloRider: An Autonomous Self-Balancing Electric Bike for Sustainable Urban Mobility
Abstract: Rapid urbanization has intensified challenges such as traffic congestion, parking inefficiency, and environmental degradation. While autonomous vehicle research predominantly focuses on four-wheel platforms, lightweight two-wheelers remain comparatively underexplored. Two-wheelers are a great option for sustainable urban transportation because of their many benefits, including their small size, lower energy consumption, better manoeuvrability, and lesser infrastructure requirements. This paper presents SoloRider, a conceptual autonomous self- balancing electric two-wheeler de- signed for sustainable …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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An Analysis of the Impact of School Leadership Styles on the Morale of Teachers and Students Achievements in Nigerian Secondary Schools
Abstract: This study examines how school leadership styles affect student achievement and teacher morale in secondary schools in Nigeria. Given the challenges faced by the Nigerian education system, such as inadequate resources, large class sizes, and socio-economic disparities, the role of effective leadership in shaping educational outcomes is of paramount importance. The research focuses on analyzing how various leadership styles—transformational, transactional, and authoritarian—affect both teacher motivation and student performance in secondary …
Published in International Journal of Education Sciences · Vol. 2, Issue 1, 2025 · pp. 14–28 Read article
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A Study on Leveraging Sensors and AI in Insect-Inspired Robotics for Unstructured Environments: Bio-Inspired Autonomy
Abstract: Insects, with their unparalleled agility, resilience, and highly efficient sensory-motor control in complex, unstructured environments, offer a rich blueprint for the next generation of autonomous robots. This study explores the design, implementation, and potential of insect-inspired robots, focusing on the synergistic integration of miniaturized sensor arrays and advanced Artificial Intelligence (AI) algorithms. We delve into bio-mimetic sensing, drawing inspiration from compound eyes, olfactory systems, and tactile hairs, to equip robots …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 7–21 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Unmanned Aerial Vehicle Using AI-ML
Abstract: Remotely piloted aircraft systems (RPAS), commonly known as drones, have evolved significantly in recent years, revolutionizing various industries and domains. This article provides an overview of the key aspects of RPAS technology, their applications, and the impact they have had on society. RPAS are autonomous or semi-autonomous aerial vehicles that can be controlled remotely, offering diverse capabilities, from data collection and surveillance to cargo delivery and recreational activities. This abstract …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 11–19 Read article
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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Automating Cleanliness: A Comprehensive Review on Real-time Monitoring and Control Techniques for Floor Cleaning Robots
Abstract: The smartest floor cleaning robot for home and office use is the automatic floor cleaner. The control mode is automatic. In addition, the robot saves time and energy by doing dry cleaning in parallel. The area of the room may determine how long cleaning takes. Consequently, the user may concentrate on his main activity, leaving the cleaning to the robot. Furthermore, our robot is less expensive than other robots. Everybody …
Published in International Journal of Advanced Control and System Engineering · Vol. 1, Issue 2, 2023 · pp. 14–21 Read article
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Pick and Place Drone using Primus X Flight Controller
Abstract: The development of an uncomplicated drone for pick-and-place tasks makes this project a superb beginner’s hands-on exercise. The drone is outfitted with an accelerometer, gyroscope, magnetometer, and barometric sensors which allows for controlled, stable flight. A Primus X flight controller powers the drone due to these features. The drone is sustained by a battery which drives four geared motor propellers. The gripper is designed in SolidWorks and cut using a …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 Read article
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Smartphone-Controlled IoT Robot for Safety and Automation
Abstract: Robotics Automation is a field that's growing fast. Industrial robots are being used a lot in different parts of the world recently. They are becoming more and more popular because they help make things faster, work well in many situations, and make money. In this project, we want to make a special robot that you can control with your Smartphone. It can do many different tasks and is strong and …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
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Empowering Vehicle: The Impact of Deep and Reinforcement Learning in IoV
Abstract: Deep learning and reinforcement learning represent two pivotal pillars within the realm of artificial intelligence and machine learning, bearing transformative potential in the domain of the Internet of Vehicles (IoV). This abstract explores the multifaceted applications of these cutting-edge techniques within the IoV framework. Deep learning, exemplified by convolution neural networks (CNNs) and recurrent neural networks (RNNs), empowers IoV systems with the prowess to discern complex patterns in sensory data. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 1–12 Read article
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Greenhouse Monitoring Robot
Abstract: In the realm of agriculture, where sustainable food production is paramount, the Greenhouse Monitoring Robot emerges as a game-changing project. Greenhouse farming, with its year-round cultivation and resource efficiency, relies on precise environmental control, notably temperature and humidity. This paper focuses on the successful implementation of an autonomous Line-Following Robot equipped with sensors like the DHT11 to ensure an ideal greenhouse environment. This innovative solution has enabled the accurate recording …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 1, 2023 · pp. 11–16 Read article
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Flying Drone Using KK Flight Controller
Abstract: This paper presents the design, development, and testing of a quadcopter drone using the KK2.1.5 flight controller, with an emphasis on stability and educational value. The KK2.1.5 controller features are inbuilt LCD screen, inbuilt programming, enabling direct configuration and tuning without the need for a computer interface, which makes it highly suitable for beginners and students. The drone is built using a modular frame architecture, which allows for easy replacement …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 20–25 Read article
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Sensors-Based Electric Machine Design for Industry
Abstract: The integration of advanced sensors is fundamentally changing the economics and reliability of electric machines. It moves design focus from minimizing material cost and adhering to conservative standards toward maximizing operational availability and energy efficiency. In the industry of tomorrow, the electric motor will not be a passive collection of coils and steel, but a self-diagnosing, self-optimizing, and perhaps even self-healing asset—a sentient motor—driven by its highly refined sixth sense, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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A Study on Automatic Feedback Control by Image Processing for Mixing Solutions in a Microfluidic Device
Abstract: Precise and rapid mixing of chemical and biological reagents is a critical yet challenging aspect of microfluidic systems, often limited by laminar flow conditions and the need for manual or pre- programmed interventions. Existing mixing strategies frequently lack real-time adaptability and closed-loop control, hindering reproducibility and the execution of complex reaction protocols. This work presents an innovative automatic feedback control system utilizing the study on real- time image processing to …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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Advancements in Humanoid Robot Locomotion: A Review of Control Strategies and Kinematic Models
Abstract: Humanoid robot locomotion has significantly improved over the past few decades, driven by improvements in control strategies and kinematic models. Researchers aim to develop robots that can walk, run, and navigate complex terrains with efficiency and stability. This review explores recent developments in humanoid locomotion, highlighting control strategies such as model predictive control, reinforcement learning, and central pattern generators. Additionally, it examines kinematic models, including inverted pendulum models and zero …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article