Eneo Petoku
Papers
2
Total Citations
5
H-Index
2
About
Eneo Petoku is a researcher at the forefront of affordable assistive robotics and brain-computer interfaces (BCIs). His work focuses on democratizing access to advanced prosthetic and robotic control systems. Petoku’s most notable contribution is the development of a low-cost myoelectric robotic hand, fabricated using a 3D printer and controlled by EMG signals from the forearm. This project, published in 2019, directly addresses the critical need for affordable prosthetics, demonstrating that functional, sensor-driven devices can be built without prohibitive expense. Building on this, Petoku has also explored the frontier of non-invasive neural control. In his 2022 work, he investigated the use of motor imagery—specifically, imagining object movement—to control a mobile humanoid robot via a BCI. This research pushes the boundaries of how brain activity alone can generate commands for complex robotic systems. While his citation counts (3 and 2) reflect a nascent stage of his career, the practical, humanitarian focus of his work—making robotic assistance both physically and cognitively accessible—marks him as a promising innovator in the field of human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Development of Myoelectric Robotic Hand using 3D Printer3 citations · 2019
- 2Mobile Humanoid Robot Control through Object Movement Imagery2 citations · 2022