Kaitao Tang

Papers

Total Citations

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About

Kaitao Tang is a robotics researcher whose work sits at the intersection of autonomous aerial systems and visual simultaneous localization and mapping (VSLAM). His most cited paper, “Extendable Flight System for Commercial UAVs on ROS” (2018, 6 citations), introduces a flexible, modular framework that integrates DJI autopilots with the Robot Operating System (ROS), enabling researchers to rapidly prototype and deploy advanced autonomy on commercial drones. This contribution addresses a critical gap in UAV research by providing an accessible, extendable platform for onboard computing and control. In his subsequent work, “An Improved ORB-SLAM2 With Refined Depth Estimation” (2019, 3 citations), Tang advances state-of-the-art VSLAM by incorporating uncertainty propagation and information-based depth updates into the ORB-SLAM2 pipeline. This refinement improves the accuracy and robustness of 3D feature triangulation, a fundamental challenge for vision-based navigation. Though early in his career, Tang’s work demonstrates a clear focus on practical, open-source solutions for UAV autonomy and robust visual perception—contributions that are foundational for the next generation of intelligent, self-navigating aerial robots.