Papers
3
Total Citations
43
H-Index
3
About
John Pumwa is a researcher at the forefront of accessible robotics and structural integrity monitoring. His work centers on two key areas: low-cost human-robot interaction and automated industrial inspection. Pumwa’s most impactful contribution is the development of a motion-tracking glove for augmented and virtual reality (25 citations). This device, costing under €100 and using only an internal measurement unit, democratizes VR/AR development by providing students and researchers with an affordable platform to control 3D virtual robotic arms in real time. In parallel, he addresses critical infrastructure safety with a robotic model designed for unmanned crack and corrosion inspection (13 citations). This work targets the periodic, often hazardous, inspection of industrial structures, aiming to improve safety and efficiency by automating the detection of material degradation. Further demonstrating his analytical depth, Pumwa has applied a Grey Relation approach to the complex problem of industrial robot selection (5 citations), providing a systematic method for choosing the optimal robot for specific manufacturing tasks. Through these contributions, Pumwa is making advanced robotics more accessible for education while simultaneously enhancing the safety and reliability of industrial operations.
Research Focus
Key Achievements
Top Papers
- 1Motion tracking glove for augmented reality and virtual reality25 citations · 2019
- 2Robotic Model for Unmanned Crack and Corrosion Inspection13 citations · 2019
- 3A Grey Relation Approach for Selection of Industrial Robot5 citations · 2018