Papers
1
Total Citations
3
H-Index
1
About
Yuyi Jia is a robotics researcher whose work centers on advancing the precision and autonomy of multi-branched robotic systems, with a particular focus on kinematic modeling and self-calibration. Their most-cited paper, "A closed-loop kinematic approach to Self-Calibration of joint offset for multi-branched robots" (2024), introduces a novel method for correcting joint offset errors without external sensors—a critical challenge in complex, branched robotic architectures. This closed-loop approach enhances operational accuracy, reducing calibration time and cost, which is vital for applications in manufacturing, surgical robotics, and autonomous exploration. Though early in their career, Jia’s work has already garnered 3 citations, signaling growing recognition in the field. Their research bridges theoretical kinematics and practical robotics, offering scalable solutions for systems with multiple degrees of freedom. Jia’s contributions are particularly notable for addressing the under-explored area of self-calibration in non-serial robots, laying groundwork for more resilient and adaptive automation. As they continue to publish, Jia is poised to become a key voice in robotic calibration and control.
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Top Papers
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