Computer Vision in Robotic Manipulation

Dear Colleagues,

Robotic manipulation has become a cornerstone of intelligent manufacturing, service robotics, and human–robot collaboration. With the rapid development of artificial intelligence, computer vision has emerged as a crucial enabling technology, providing robots with the ability to perceive, interpret, and interact with complex and dynamic environments. Vision-guided manipulation enables robots to perform tasks that require high precision, adaptability, and autonomy, ranging from industrial assembly and logistics to healthcare and assistive applications.

This Special Issue aims to bring together recent advances in computer vision methods and their integration into robotic manipulation. Topics of interest include innovative perception algorithms, vision-based grasping and manipulation strategies, multimodal sensor fusion, learning-based control, and real-time vision systems for dynamic and unstructured scenarios. Research contributions addressing challenges such as robustness, generalization, scalability, and human–robot safety are also highly encouraged. Both original research articles and comprehensive reviews are welcome, covering theory, algorithms, system implementations, and real-world applications.

Through this Special Issue, we seek to highlight cutting-edge progress in computer vision technologies that enhance the intelligence, versatility, and efficiency of robotic manipulation, paving the way for next-generation autonomous robotic systems.

Prof. Dr. Changle Li
Dr. Jie Chen
Dr. Hui Zhang
Guest Editors

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