Mohammad Yazdi
Papers
2
Total Citations
75
H-Index
2
About
Mohammad Yazdi is a leading researcher at the intersection of robotics, manufacturing, and industrial automation. His primary research areas include reliability engineering, tolerance design, and the integration of Internet of Things (IoT) with edge computing for smart manufacturing. Yazdi’s most notable contribution is his pioneering work on optimal tolerance design for robot manipulators, where he developed a novel optimization model that minimizes positioning accuracy failure probability while balancing manufacturing cost constraints—a critical advancement for precision robotics. His 2023 paper on this topic has garnered 64 citations, reflecting its significant impact on the field. More recently, Yazdi has explored the integration of IoT and edge computing in industrial systems, with his 2024 paper already accumulating 11 citations, demonstrating the growing relevance of his work in Industry 4.0. His research bridges theoretical reliability models with practical industrial applications, offering engineers actionable frameworks for enhancing robotic system performance. Yazdi’s contributions are shaping the future of automated manufacturing, making him a key figure for students and researchers interested in robust, cost-effective robotic design and smart factory technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Integration of IoT and Edge Computing in Industrial Systems11 citations · 2024