About

Mohammad Mayyas is a researcher whose work bridges micro- and macro-scale robotics, with key contributions in microgripper design, parallel manipulation, and human–robot collaboration. His most cited paper, "Design Tradeoffs for Electrothermal Microgrippers" (2007, 21 citations), established foundational design principles for silicon-on-insulator-based microgrippers used in precision pick-and-place tasks. He advanced mesoscale material handling with "Parallel Manipulation Based on Stick-Slip Motion of Vibrating Platform" (2020, 16 citations), offering a faster, simpler alternative to sequential robotic operations. Mayyas also addresses safety in shared workspaces through his work on fenceless obstacle avoidance for human–robot collaboration (2020, 5 citations), and he has developed methods for automatic inverse kinematic map generation in modular robotic systems (2016, 4 citations). His bioinspired STARbot (2014) showcases innovative use of flexible skeletons for multi-modal locomotion. With recent work on 3D-printed grippers for combined precision and coarse assembly (2025), Mayyas continues to push boundaries in robotic manipulation, demonstrating sustained impact across microassembly, manufacturing automation, and safe collaborative robotics.

Research Focus

Key Achievements

4
H-Index
8
Papers
53
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Design Tradeoffs for Electrothermal Microgrippers
21 citations · 2007
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: The University of Texas at Arlington, Bowling Green State University, Robotics Research (United States), Miami University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago