Papers
1
Total Citations
8
H-Index
1
About
Xiran Su is a pioneering researcher at the intersection of robotics and artificial intelligence, specializing in precision kinematic control and natural language-guided manipulation. Their seminal work, "Precision Kinematic Path Optimization for High-DoF Robotic Manipulators Utilizing Advanced Natural Language Processing Models" (2024), has already garnered 8 citations, marking a significant early-career impact. Su’s core contribution lies in bridging the semantic knowledge embedded within large language models (LLMs) with the physical constraints of high-degree-of-freedom robotic systems. By addressing the critical deficit of real-world experiential grounding in LLMs, Su has developed novel frameworks that enable robots to interpret and execute complex, temporally extended commands with unprecedented accuracy. This work not only advances the field of robotic path planning but also lays the groundwork for more intuitive human-robot collaboration. Su’s research holds transformative potential for industrial automation, assistive robotics, and autonomous systems, offering a pathway toward machines that can seamlessly understand and act upon nuanced human instructions in dynamic environments.
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Top Papers
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