Pringgo Widyo Laksono
Papers
9
Total Citations
71
H-Index
5
About
Pringgo Widyo Laksono is a researcher at the forefront of human-robot interaction, specializing in the use of bio-potential signals—particularly electromyography (EMG), electrooculography (EOG), and electroencephalography (EEG)—to create intuitive control systems for assistive and industrial robotics. His major contributions include developing minimal mapping techniques that translate just three EMG signals from human elbow and shoulder movements into precise control of a two-degree-of-freedom robotic arm, a breakthrough that simplifies bio-signal processing for real-time applications. His work has garnered over 70 citations, with his most cited paper (2021, 17 citations) demonstrating the feasibility of using a minimum set of EMG signals to classify complex upper-limb motions. Notably, he has extended this approach to assistive technologies, such as a neck EMG-based game control interface for individuals with upper limb impairments and tetraplegic patients, and an EOG gaze estimation system for object grasping with a 3D robot arm. His research bridges the gap between biological signals and robotic actuation, offering scalable solutions for rehabilitation, prosthetics, and human-robot cooperation in Industry 4.0.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Robot control systems using bio-potential signals7 citations · 2020
- 6
- 7
- 8
- 9