Max Robotics — Global Service Robot Directory + US Certification

About

Charles Koduru is an emerging robotics and autonomous systems researcher whose work sits at the intersection of computer vision, sensor fusion, and intelligent robotic platforms. His research primarily focuses on advancing the capabilities of mobile robots — including quadrupedal and humanoid systems — through the integration of machine learning-driven perception and cooperative navigation strategies. Koduru's most notable contributions include pioneering the use of YOLOv8-based object recognition for optimizing sensor and camera management in quadrupedal swarm units, specifically the Unitree GO1 robotic dog, earning 4 citations since its 2024 publication. He has also made significant strides in infrastructure health monitoring, developing a data collection and heat map generation framework that fuses FLIR thermal imaging with robotic platforms for crack detection in critical structures such as power plant transformers — a contribution already garnering 3 citations. His earlier work on cooperative localization between NAO humanoid and Rosbot 2.0 wheeled robots demonstrated a practical approach to multi-robot collaboration and obstacle avoidance path planning. With a growing citation record and research addressing real-world challenges in autonomous inspection and multi-robot systems, Koduru represents a promising voice in the next generation of robotics engineers pushing the boundaries of intelligent, field-deployable robotic solutions.