Angel Espiridion Maldonado-Reyes

National Institute of Astrophysics, Optics and Electronics

Papers

Total Citations

H-Index

About

Angel Espiridion Maldonado-Reyes is a robotics researcher whose work centers on human-robot interaction, real-time control systems, and gesture-based teleoperation. His most notable contribution is the development of a system to control the humanoid robot NAO through body gestures captured by the Kinect sensor, a project that integrates linear regression techniques to refine and adjust robotic movements in real time. This work, published in 2018, demonstrates his expertise in bridging intuitive human motion with robotic actuation using Python and the Naoqi operating system. While his citation count remains modest, the project represents a foundational step in accessible, non-invasive teleoperation—an area critical for assistive robotics and human-robot collaboration. Maldonado-Reyes’ research highlights the potential of combining low-cost sensors with machine learning to make humanoid robots more responsive and user-friendly. His work is particularly relevant for students and researchers exploring gesture-based control, humanoid robotics, and real-time motion mapping, offering a practical framework for advancing intuitive robotic interfaces.