Papers
3
Total Citations
11
H-Index
2
About
Dr. Xiangmin Tan is a pioneer in the control and modeling of complex robotic systems, with a primary focus on omnidirectional mobile manipulators. His foundational work addresses the significant challenges of integrating mobile platforms with robotic arms, achieving seamless kinematics and adaptive control. In his most cited paper (2008, 6 citations), Dr. Tan introduced an adaptive hybrid control strategy using neural networks, enabling these sophisticated systems to handle dynamic environments with enhanced stability and precision. He further advanced the field by establishing a comprehensive integrated kinematics model in his 2009 study, providing a critical framework for understanding the motion properties of these manipulators. Demonstrating versatility, Dr. Tan also developed a novel control scheme for a four-rope-driven level-adjustment robot, employing a SIRMs dynamically connected fuzzy inference model to balance payload and rope tension. His contributions are essential for applications requiring high mobility and dexterity, from industrial automation to service robotics, laying the groundwork for more intelligent and adaptable robotic systems.
Research Focus
Key Achievements
Top Papers
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