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About

Linh Tao is a robotics and computer vision researcher whose work bridges 3D perception and bipedal locomotion. His primary research areas include 3D surface registration, stereo vision systems, and biped robot gait generation. Tao’s most significant contribution is in global range image registration, where he developed a novel ray-casting method that improves the alignment of 3D constructed surfaces. This work, published in 2017, has garnered 6 citations and addresses a fundamental challenge in applications ranging from object recognition to robotic navigation and reverse engineering. He further advanced this field by combining ray-casting with an improved self-adaptive differential evolution algorithm for hybrid registration. In robotics, Tao has focused on enhancing biped robot locomotion, proposing an approximated optimization method using Differential Evolution for more natural and stable gait patterns. He also investigated the effect of human-inspired foot structures with articulated toes on small biped robots. Most recently, Tao developed ReStereoNet, an inexpensive stereo camera system that leverages the PSMNET algorithm for disparity map estimation, offering a cost-effective alternative to 3D cameras for mobile robots. His work demonstrates a practical, algorithm-driven approach to making robotic systems more capable and affordable.