Muhammad Fahmi Miskon
Technical University of Malaysia Malacca, Monash University, Engineering Systems (United States)
Papers
17
Total Citations
132
H-Index
6
About
Dr. Muhammad Fahmi Miskon is a leading researcher in the fields of robotic manipulation, bipedal locomotion, and rehabilitation exoskeletons. His work bridges the gap between intelligent control systems and practical robotic applications, with a particular focus on enhancing robot autonomy and human-robot interaction. Dr. Miskon’s most cited work, a 2022 review on learning-based robotic manipulation in cluttered environments (39 citations), provides a comprehensive framework for enabling robots to grasp and carry objects in complex, real-world settings. He is also renowned for developing the Dual Length Linear Inverted Pendulum Method (DLLIPM) for 3-D biped robot walking along slopes (23 citations), a novel approach that addresses a critical gap in dynamic walking control. His contributions extend to exoskeleton robots, where his review on trajectory generation (15 citations) has guided the design of assistive devices for rehabilitation and mobility restoration. Dr. Miskon’s research on novelty detection for surveillance robots and collision avoidance manipulators further demonstrates his versatility, with his work collectively amassing over 100 citations and influencing both academic research and practical robotic design.
Research Focus
Key Achievements
Top Papers
- 1Review of Learning-Based Robotic Manipulation in Cluttered Environments39 citations · 2022
- 2
- 3Review of trajectory generation of exoskeleton robots15 citations · 2014
- 4Mapping normal sensor measurement using regions10 citations · 2009
- 5Walking simulation model of lower limb exoskeleton robot design8 citations · 2020
- 6A novel electromagnetic signature sensor for mobile robots6 citations · 2007
- 7Pre-Contact Sensor Based Collision Avoidance Manipulator5 citations · 2017
- 8
- 9
- 10An Approach to Data Utilization of The Lokomat Rehabilitation Robot3 citations · 2018