Papers
22
Total Citations
248
H-Index
8
About
Xiao Lu is a robotics and automation researcher whose work spans robot calibration, mobile robot systems, unmanned aerial vehicles, and intelligent sensing. Lu's most influential contribution lies in robot calibration methodology, particularly the development of a screw axis identification method based on the product of exponentials (POE) model for serial robot calibration, which has garnered 54 citations and established a foundational approach in the field. Complementing this, Lu advanced fully automatic hand-eye calibration techniques for serial robot systems, streamlining the simultaneous calibration of robot body, hand-eye relation, and measurement systems. Beyond manipulation, Lu has made notable strides in mobile robotics, proposing a cost-effective Wi-Fi-based indoor positioning system (34 citations) and a gene-rearrangement-enhanced genetic algorithm for mobile robot path planning. More recently, Lu has expanded into UAV fault diagnostics and self-supervised monocular depth estimation, reflecting a broadening research vision. With contributions also spanning ZigBee-based sensor networks, neural network kinematics solving, and 3R subproblem frameworks, Lu's body of work—totaling over 200 citations—represents a versatile and sustained commitment to advancing intelligent robotic systems across both theoretical and applied dimensions.
Research Focus
Key Achievements
Top Papers
- 1
- 2A robust mobile robot indoor positioning system based on Wi-Fi34 citations · 2020
- 3A novel fault diagnosis in sensors of quadrotor unmanned aerial vehicle25 citations · 2022
- 4A vision-based fully-automatic calibration method for hand-eye serial robot22 citations · 2015
- 5
- 6Self-supervised monocular depth estimation with direct methods15 citations · 2020
- 7General frame for arbitrary 3R subproblems based on the POE model14 citations · 2018
- 8Neural network method for robot arm of service robot based on D-H model8 citations · 2017
- 9Application of a hand-eye self-calibration technique in robot vision7 citations · 2013
- 10