Max Robotics — Global Service Robot Directory + US Certification

About

Shafi Khuriesho Mohammed is a leading researcher at the intersection of digital manufacturing and robotics, specializing in the reuse of product data for automated industrial processes. His core work focuses on leveraging Model-Based Definition (MBD) and the STEP AP242 standard to bridge the gap between product design and robotic execution. Mohammed’s major contributions lie in demonstrating how semantic Product Manufacturing Information (PMI)—including Geometric Dimensioning and Tolerancing (GD&T)—can be extracted from neutral CAD files to define constraints for robotic assembly, welding, and gripper selection. His 2021 paper on leveraging STEP AP242 for robotic assembly has garnered 21 citations, establishing a foundational framework for constraint-based robot programming in Industry 4.0. Subsequent works, such as his 2023 study on GD&T for robotic applications (8 citations) and his 2022 paper on gripper selection (7 citations), extend this paradigm, showing how design-phase data can directly inform manufacturing operations. Mohammed’s research is notable for its practical impact on smart factory automation, enabling a seamless digital thread from design to production. His work is essential reading for engineers and researchers developing autonomous, data-driven robotic systems.