Charles Kenneth C. Beltran

Polytechnic University of the Philippines

Papers

Total Citations

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About

Dr. Charles Kenneth C. Beltran is a robotics and computer vision researcher whose work focuses on intelligent human-robot interaction and autonomous navigation systems. His most notable contribution is the development of a human-following cart that leverages 360° camera technology to overcome the limited field-of-view constraints of conventional tracking systems. In his 2020 study, Beltran pioneered a method for processing fisheye images into panoramic formats, enabling a robot to detect, recognize, and continuously track a human target across a full 360-degree environment. This innovation addresses a critical challenge in service robotics—maintaining visual contact with a moving person without requiring the robot to constantly reorient its camera. While his work has garnered early citations, its practical implications for applications like autonomous luggage carriers, hospital assistants, and warehouse logistics are significant. Beltran’s research bridges the gap between affordable hardware (360° cameras) and sophisticated image processing algorithms, making human-following robots more robust and commercially viable. His contributions represent an important step toward seamless human-robot collaboration in dynamic, real-world settings.