Mohammed Salman Azim
Papers
1
Total Citations
15
H-Index
1
About
Mohammed Salman Azim is a robotics researcher whose work focuses on advancing collaborative manufacturing through innovative gripping solutions. His primary research areas include universal gripper design, robot application methodologies, and human-robot collaboration in industrial settings. Azim’s major contribution lies in developing a systematic methodology for implementing universal gripping solutions that enable robots to handle diverse objects without frequent tool changes—a critical challenge in flexible manufacturing. His most cited work, “Methodology for implementing universal gripping solution for robot application” (2019), has garnered 15 citations, reflecting its practical relevance as industries increasingly adopt collaborative robots for repetitive and hazardous tasks. This research addresses the growing need for robots that can work safely alongside humans while handling monotonous or eco-unfriendly operations. Azim’s work is notable for bridging the gap between theoretical robotics and real-world factory automation, offering scalable solutions that enhance productivity and worker safety. His contributions are particularly valuable for students and researchers exploring the intersection of robot adaptability, end-effector design, and Industry 4.0 applications, where flexible automation is key to modern manufacturing efficiency.
Research Focus
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Top Papers
- 1