Yuji Hirai
Papers
5
Total Citations
52
H-Index
5
About
Yuji Hirai is a robotics researcher whose work centers on tactile and proximity sensing for robotic manipulation, with a focus on creating intelligent, high-speed systems for industrial automation. His major contributions include the development of tough, bendable, and stretchable tactile sensor arrays designed to function as durable "skin" for robotic surfaces, enabling robots to interact safely and effectively with their environment. This work, published in 2018, has garnered 16 citations for its innovative use of conductive fabrics and pressure-conductive rubber. Hirai also pioneered hierarchical proximity sensors that allow robotic hands to execute pre-grasp motions with exceptional speed and precision, addressing the blind spots of vision systems in manufacturing settings—a concept cited 13 times. His robust bin-picking system, which integrates tactile and vision sensors to detect pick-up success or failure, has been cited 11 times and demonstrates practical advances in automation reliability. Additionally, Hirai has contributed to cost-effective assembly systems that minimize tool changes and setup time, reflecting his commitment to real-world industrial efficiency. His work is notable for bridging the gap between sensor innovation and deployable robotic solutions, making him a key figure in the advancement of tactile-aware automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Robust bin-picking system using tactile sensor11 citations · 2019
- 4Development of assembly system with quick and low-cost installation7 citations · 2020
- 5