Mohammad Givehchi
Papers
8
Total Citations
264
H-Index
6
About
Mohammad Givehchi is a leading researcher in cloud-enabled manufacturing and adaptive robotic assembly, whose work bridges the gap between digital control and physical production. His most influential contribution, the 2016 paper on a "Ubiquitous manufacturing system based on Cloud" (150 citations), pioneers a cloud-based robotics framework that transforms traditional shop floors into flexible, service-oriented environments. This foundational work enables real-time resource sharing and remote control, directly addressing the industry’s need for rapid adaptability. Givehchi’s broader research focuses on enhancing robotic assembly through sensor-driven monitoring and intelligent planning. His 2011 study on a "sensor-driven 3D model-based approach" (34 citations) provides a method for remote real-time monitoring, while his 2014 work on "function blocks" (26 citations) introduces a modular control architecture that allows robotic systems to dynamically respond to shop-floor uncertainties like part shortages or rush orders. He further optimizes assembly sequences using hybrid rule-based and genetic algorithms (20 citations), ensuring collision-free paths and efficient operations. Collectively, Givehchi’s work—totaling over 260 citations—offers a comprehensive framework for creating more responsive, intelligent, and resilient manufacturing systems, making him a key figure in the evolution of Industry 4.0.
Research Focus
Key Achievements
Top Papers
- 1Ubiquitous manufacturing system based on Cloud: A robotics application150 citations · 2016
- 2A sensor-driven 3D model-based approach to remote real-time monitoring34 citations · 2011
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- 6Robotic Assembly Planning and Control with Enhanced Adaptability11 citations · 2012
- 7Web Based Monitoring and Control of Distant Robotic Operations5 citations · 2012
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