Oswualdo Alquisiris-Quecha

National Institute of Astrophysics, Optics and Electronics

Papers

Total Citations

H-Index

About

Oswualdo Alquisiris-Quecha is a robotics researcher whose work centers on humanoid robot control, autonomous navigation, and computer vision. His most cited paper, "Depth Estimation Using Optical Flow and CNN for the NAO Robot" (2019, 3 citations), tackles a fundamental challenge in robotics: enabling reliable depth perception from a single camera under erratic motion. By integrating optical flow with convolutional neural networks, Alquisiris-Quecha developed a method that improves autonomous navigation for robots moving in dynamic environments. His second key contribution, "Teleoperation and Control of a Humanoid Robot NAO through Body Gestures" (2018, 2 citations), demonstrates an innovative approach to real-time robot control using Kinect-based gesture recognition and linear regression. This work, implemented in Python on the Naoqi operating system, opens new possibilities for intuitive human-robot interaction. Though his citation counts are modest, Alquisiris-Quecha’s research addresses persistent problems in mobile robotics—noise reduction in visual data and seamless teleoperation—making his contributions valuable for advancing humanoid robot autonomy and accessibility.