Visual Servoing of Robots: Challenges and Prospects
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 972
Special Issue Editor
Interests: computer vision; computational complexity; convolutional neural nets; learning (artificial intelligence); mobile robots; object detection; robot vision; computer architecture; image classification; image colour analysis; image processing; video streaming
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Visual servoing is an essential aspect of robotics that focuses on controlling the motion of robots using visual feedback. It involves leveraging visual information captured by cameras or other vision sensors to guide robot movements and accomplish various tasks. Visual servoing plays a crucial role in enabling robots to interact with the environment, manipulate objects, navigate complex spaces, and perform precise actions.
Advancements in computer vision techniques, sensor technologies, and machine learning algorithms have significantly enhanced the capabilities of visual servoing systems. The integration of deep learning and other AI techniques has facilitated more robust and versatile perception capabilities, enabling robots to handle a wide range of tasks and operate in diverse environments.
Furthermore, visual servoing has the potential to enable human–robot collaboration, where robots can understand and interpret human gestures or instructions via visual cues. This opens up opportunities for applications such as assisted living, healthcare, and interactive robotic systems. We welcome both original research papers and review articles that showcase the significant developments in these fields. Potential areas of interest include, but are not limited to, the following:
- Visual servoing
- Robotics
- Motion control
- Visual feedback
- Camera-based control
- Computer vision
- Vision-based robotic manipulation
- Vision-guided robotic grasping
- Real-time visual measurements
- Deep learning
- Deep reinforcement learning
- AI techniques
- Human-robot collaboration
- Interactive robotics
Prof. Dr. Chi-Yi Tsai
Guest Editor
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