Keng Goh
Papers
4
Total Citations
24
H-Index
2
About
Keng Goh is a researcher whose work bridges robotics, control systems, and industrial automation, with a particular focus on adaptive landing mechanisms for helicopters. His most significant contribution lies in developing articulated robotic landing gear that enables helicopters to land safely on uneven terrain—a critical advancement for search-and-rescue and military operations in challenging environments. His 2017 paper on modelling and control of this system, which has garnered 18 citations, proposes a mathematical framework for a scaled robotic leg system that actively adapts to ground irregularities, replacing conventional fixed skids. This work is complemented by a 2018 study refining the control strategy for four-legged landing gear. Beyond rotorcraft, Goh has explored sliding mode control for induction machines (2004), demonstrating robust speed regulation under non-linear loads, and has recently ventured into Industry 4.0 retrofitting (2025), showing how low-cost LIDAR can modernise legacy automated guided vehicles for autonomous navigation. His research trajectory reflects a commitment to practical, real-world applications—from enhancing helicopter safety to upgrading existing manufacturing infrastructure—making his work relevant to both aerospace and industrial engineering communities.
Research Focus
Key Achievements
Top Papers
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