Vahid Sotoudehnejad
Papers
2
Total Citations
43
H-Index
2
About
Vahid Sotoudehnejad is a robotics researcher whose work focuses on improving the safety and reliability of robotic manipulators through advanced collision detection methods. His primary research areas include sensorless collision detection, dynamic modeling, and fault-tolerant control for robotic systems. Sotoudehnejad's most significant contribution is his pioneering work on counteracting modeling errors in observer-based collision detection, as detailed in his highly cited 2012 paper (32 citations). This research introduced a time-variant threshold for observer residues in joint space, providing a robust solution to one of the key deficiencies in sensorless collision detection. Building on this foundation, his 2014 work (11 citations) further advanced the field by proposing velocity-based variable thresholds that effectively remove the detrimental effects of torque sensor errors and friction compensation errors. These contributions are particularly valuable for applications where tactile or visual sensors are unavailable, making manipulators safer in human-robot interaction environments. Sotoudehnejad's work has been instrumental in developing more sensitive and reliable collision detection systems, with his papers serving as essential references for researchers working on robot safety and autonomous manipulation.
Research Focus
Key Achievements
Top Papers
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- 2