Waweru Njeri
Papers
8
Total Citations
64
H-Index
6
About
Waweru Njeri is a robotics researcher whose work sits at the exciting intersection of bio-signal processing, human-robot interaction, and intelligent control systems. His primary research areas include electromyography (EMG)-based control, deep reinforcement learning for robotics, and assistive technologies for individuals with motor impairments. Njeri’s most impactful contribution is the development of a control scheme that maps three EMG signals from human elbow and shoulder movements to a two-degree-of-freedom upper-limb robot arm, enabling intuitive human-robot cooperation (15 citations). He has also pioneered a neck EMG-based game control interface designed specifically for persons with upper limb functional impairments and tetraplegic patients, opening new avenues for accessible entertainment and rehabilitation (12 and 3 citations). Demonstrating versatility, Njeri has applied deep reinforcement learning to bridge the sim-to-real gap for robot arm control (10 citations) and developed vibration control for flexible manipulators using reinforcement learning (6 citations). His work on coaxial mobile robots using thermal cameras for public relations and on dielectric elastomer actuators for soft robotics further showcases his breadth. With over 60 total citations across his publications, Njeri is establishing himself as a promising voice in bio-inspired and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Robot control systems using bio-potential signals7 citations · 2020
- 6
- 7
- 8