Ahmad Qurthobi
Papers
2
Total Citations
8
H-Index
2
About
Ahmad Qurthobi is a researcher advancing the frontiers of robotics and control systems, with a particular focus on autonomous navigation and human-robot interaction. His work bridges practical engineering and emerging technologies, as demonstrated in his most-cited paper, "Design of Self-Balancing Virtual Reality Robot Using PID Control Method and Complementary Filter" (2021, 6 citations). This research integrates an inverted pendulum control system with VR technology, creating a robot capable of maintaining upright balance while being remotely operated for survey and exploration—a significant contribution to telepresence robotics. Qurthobi also tackles complex locomotion challenges in his work on hexapod robots, where he implemented PID control algorithms for stair detection and traversal (2021, 2 citations). His research addresses the critical problem of enabling multi-legged robots to navigate uneven terrain autonomously, with applications in search-and-rescue and industrial inspection. By combining classical control theory with modern sensing and filtering techniques, Qurthobi demonstrates a systematic approach to solving real-world robotic challenges. His work, while early in its citation impact, represents foundational contributions to self-balancing systems and adaptive locomotion that will likely influence future developments in autonomous mobile robotics.
Research Focus
Key Achievements
Top Papers
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- 2