Daiki Kajita
Papers
5
Total Citations
17
H-Index
3
About
Daiki Kajita is a leading researcher in advanced manufacturing systems, specializing in the design of reconfigurable production lines and human-robot collaborative assembly. His work addresses critical challenges in modern factories, such as adapting to supply chain disruptions and labor shortages, by developing methods for flexible, automated production. Kajita’s major contributions include a novel reconfigurable production line design that integrates human workers with robotic cells, accounting for worker attitudes to optimize collaboration. He has also pioneered meta-heuristic algorithms for large-scale manufacturing line optimization, enabling rapid reconfiguration in response to product variability. His research on automatic assembly motion planning uses geometric constraints from 3D CAD data to generate robot paths, reducing manual teaching efforts. Notably, Kajita has tackled NP-hard problems in multi-arm robot task sequencing and allocation, ensuring collision-free assembly. He has also optimized welding sequences and robot paths to prevent deformation in sheet metal parts, directly addressing industry needs. With over 15 citations across his most-cited papers, Kajita’s work is pivotal for advancing smart, resilient manufacturing systems that balance automation with human factors.
Research Focus
Key Achievements
Top Papers
- 1
- 2Manufacturing Line Design Configuration with Optimized Resource Groups4 citations · 2021
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