Hamza Aagela

Papers

Total Citations

H-Index

About

Hamza Aagela is a robotics researcher whose work centers on indoor mapping, cloud-connected humanoid systems, and power-efficient robot management. His most cited paper, “An Asus_xtion_pro based indoor MAPPING using a Raspberry Pi with Turtlebot robot” (2017, 13 citations), demonstrates a low-cost approach to simultaneous localization and mapping (SLAM) by integrating a 3D sensor with a Turtlebot and Raspberry Pi, using Gmapping to create accurate indoor maps—a practical contribution to accessible mobile robotics. In “Impact of video streaming quality on bandwidth in humanoid robot NAO connected to the cloud” (2017, 7 citations), Aagela investigates how video quality affects bandwidth consumption during cloud-based face recognition, providing key insights for real-time teleoperation and cloud robotics. His work “Web-based Wireless Wake-on-LAN approach for Robots” (2018, 2 citations) addresses power management by enabling remote wake-up of robots over wireless LAN, a notable step toward energy-efficient, always-available robotic systems. Aagela’s contributions span hardware-software integration, network performance profiling, and power optimization, making his research relevant for students and engineers developing cost-effective, cloud-connected, and autonomous robots.