Visual Servoing-Based Robotic Manipulation

Dear Colleagues,

Visual servoing is an important area of research in robotics, driven by advancements in computer vision, machine learning and sensor technologies. As robots become increasingly autonomous and capable of executing complex tasks, the ability to accurately perceive and interact with their environment becomes indispensable. Visual servoing provides a powerful framework for achieving precise control and manipulation in dynamic and uncertain environments. Robots equipped with visual servoing capabilities excel in tasks such as pick-and-place operations, assembly and manipulation, and are applied across various domains, including industrial automation, healthcare and service robotics. Despite the development of general-purpose visual servoing methods, the specific requirements of different applications often necessitate specialized approaches. These requirements are influenced by variations in tasks, environmental conditions and the unique challenges inherent in each application domain. While numerous visual servoing techniques and control strategies have been proposed, there remain significant opportunities for further innovation in creating solutions that meet the specific needs of various applications. Moreover, the integration of visual feedback systems with control strategies has the potential to enhance the performance and adaptability of robotic systems, contributing to the advancement of robotic manipulation technologies.

This Special Issue aims to consolidate the latest research and advancements in utilizing visual feedback for robotic manipulation tasks. Particularly, this Special Issue will explore the state-of-the-art visual servoing technologies, their practical applications in robotic manipulation, and the challenges and opportunities these developments present for future research.

The scope of this Special Issue includes, but is not limited to, the following topics:

• Adaptive and robust visual servoing control methods;
• Deep learning and computer vision techniques for robotic manipulation;
• Sensor fusion and multi-modal approaches for enhanced manipulation;
• Applications of visual servoing in industrial automation;
• Simulation, modeling and real-world implementation of visual servoing systems;
• Human–robot interaction and collaboration using visual feedback.

Dr. Naresh Marturi
Guest Editor

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