Papers
1
Total Citations
5
H-Index
1
About
Bin Tan is an emerging researcher in artificial intelligence and robotics, with a primary focus on mobile robot perception and intelligent control. His most-cited work, "Soccer‐Assisted Training Robot Based on Image Recognition Omnidirectional Movement" (2021, 5 citations), introduces a novel integration of computer vision and omnidirectional locomotion for sports training applications. Tan's key contributions lie in developing real-time environmental perception systems that enable mobile robots to navigate and interact dynamically with their surroundings, particularly through image recognition technologies. While his citation count is still growing, his research addresses the core challenge of enabling robots to achieve autonomous, adaptive movement in complex environments—a foundational problem in modern robotics. Tan's work represents an important step toward practical, interactive robotic systems, combining theoretical advances in artificial intelligence with tangible applications in sports and training. As the field of mobile robotics continues to expand, his contributions to real-time perception and omnidirectional control offer promising pathways for future innovations in human-robot interaction and assistive technologies.
Research Focus
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Top Papers
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