Papers
4
Total Citations
33
H-Index
3
About
J. Fujioka is a leading researcher in robotic calibration and precision measurement, with a career dedicated to enhancing the accuracy and reliability of industrial and rescue robots. His primary research areas include kinematic parameter calibration, error compensation using neural networks, and the development of advanced orientation measurement systems. Fujioka’s major contributions lie in pioneering methods to correct both geometric and non-geometric errors in robot arms, significantly improving positioning accuracy for offline teaching applications. Notably, his 2012 work on using laser tracking systems combined with neural networks and genetic algorithms for optimal measuring point selection has garnered 20 citations, underscoring its impact on the field. He also advanced orientation calibration by integrating gyroscopes with laser tracking, addressing gear transmission errors in articulated robots like the PUMA 560. Beyond industrial robotics, Fujioka contributed to rescue robotics by developing a small rescue dummy capable of detecting pressing forces across its entire body, used in robot contests for disaster prevention education. His work bridges theoretical modeling and practical implementation, making him a key figure in robotic precision engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4