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About

Le Hoai Phuong is a robotics researcher whose work bridges computer vision and intelligent automation, with a particular focus on developing systems that can see, decide, and act. Their core research areas include machine vision for robotic manipulation, real-time object tracking, and human-robot interaction. Phuong’s most impactful contribution is the design of a hierarchical control system for a dual robot arm that classifies and sorts objects by shape and size using machine vision—a paper that has garnered 33 citations for its practical, low-cost approach to industrial automation. They have also advanced the field of dynamic robotics by developing a stereo vision system capable of predicting ping-pong ball trajectories in real time, enabling a robot to intercept and return balls during play. More recently, Phuong has explored intuitive control methods, allowing a SCARA robot arm to be guided through vision-based human hand tracking, and has applied the latest YOLOv11-OBB model to improve robotic grasping accuracy. With over 50 total citations, Phuong’s work consistently demonstrates how accessible vision technology can make robots more autonomous, responsive, and useful in both industrial and interactive settings.