S. Mohammad

Papers

Total Citations

H-Index

About

S. Mohammad’s research lies at the intersection of robotic manipulation, human-robot interaction, and system reliability. Their most notable contribution is the creation of **HANDdata**, a pioneering first-person dataset that captures hand kinematics and proximity vision during reach-to-grasp actions on non-virtual objects. This work, published in 2023 and already garnering 10 citations, is specifically designed to improve autonomous grasping by focusing on the critical reaching phase—a key challenge for robotic hands. Additionally, Mohammad has advanced the field of mobile robotics through a 2012 study applying **Failure Mode and Effect Analysis (FMEA)** to wheeled mobile robots, earning 8 citations for its practical framework to enhance system reliability and performance. By bridging data-driven insight with rigorous failure analysis, Mohammad’s work offers tangible tools for building more robust and dexterous robotic systems. Their contributions are especially valuable for students and researchers exploring autonomous manipulation, sensorimotor control, and quality assurance in robotics.