Papers
2
Total Citations
4
H-Index
2
About
Ahmad Naebi is a robotics researcher specializing in intelligent control systems, fuzzy logic, and human-robot interaction. His work focuses on developing autonomous and teleoperated robotic systems that can operate safely and effectively in complex, high-stakes environments. Naebi’s key contributions include the design of a ping-pong player robot controller using Adaptive Neuro-Fuzzy Inference Systems (ANFIS), an approach that minimizes human intervention by enabling the robot to learn and adapt its behavior through training algorithms. This work, published in 2011, laid the groundwork for more advanced autonomous decision-making in robotics. Building on this foundation, Naebi addressed critical safety challenges in teleoperated demining robots. His 2017 paper proposes an innovative integration of haptic feedback systems with fuzzy logic controllers to reduce operator error during urgent situations, significantly enhancing the reliability of remote explosive ordnance disposal. While his most-cited papers each hold 2 citations, their practical implications for robotics safety and autonomous control are noteworthy. Naebi’s research bridges the gap between intelligent control theory and real-world robotic applications, particularly in hazardous environments where precision and operator support are paramount.
Research Focus
Key Achievements
Top Papers
- 1Designing Ping-Pong Player Robot Controller with ANFIS2 citations · 2011
- 2