Qiubo Ye

Anhui University, Jimei University, Hohai University

Papers

Total Citations

H-Index

About

Qiubo Ye is a robotics researcher whose work focuses on the precision control and sensing challenges that limit the performance of advanced robotic systems. His primary research areas include motor control, simultaneous localization and mapping (SLAM), and the compensation of nonlinear dynamics in robotic joints. Ye’s major contributions address critical bottlenecks in robot actuation and perception. He has investigated how Hall sensor errors degrade the current and rotor position estimation in robot joint motors, a key issue for high-torque applications. In mobile robotics, he developed an improved Cubature Kalman Filter for SLAM, enhancing localization accuracy and stability over conventional methods. More recently, Ye has tackled the problem of nonlinear friction in integrated spherical joints, proposing a novel identification and compensation method using the Hippopotamus Optimization Algorithm to enable smoother, high-precision motion for humanoid robots in demanding tasks like medical and rescue operations. With his most-cited work accumulating over a dozen citations in just a few years, Ye is establishing a reputation for solving practical, real-world problems in robot control and autonomy.