Febdian Rusydi
Papers
1
Total Citations
6
H-Index
1
About
Febdian Rusydi is a researcher whose work bridges robotics, control systems, and biomedical signal processing. His key research areas include human-robot interaction, manipulator control, and the application of electromyography (EMG) signals for prosthetic and robotic systems. One of his most notable contributions is the development of a robot manipulator controlled by human arm motion using absolute encoders and EMG signals, a study that has garnered 6 citations. This work demonstrated a practical approach to building robots that mimic human arm movements, with potential applications in assistive technologies and industrial automation. By focusing on two-joint manipulators and real-time control, Rusydi has contributed to making robotic systems more intuitive and responsive to human input. His research is particularly relevant for students and engineers interested in the intersection of biomechanics and robotics, offering insights into how biological signals can be harnessed to control machines. Though his citation count is modest, his work represents a foundational step in developing more natural human-robot interfaces, with implications for rehabilitation robotics and advanced manufacturing.
Research Focus
Key Achievements
Top Papers
- 1