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About

Dr. Yanmei Meng is a leading researcher at the intersection of robotics, computer vision, and agricultural automation, with a focus on 3D perception and intelligent control systems. Her work addresses critical challenges in enabling autonomous systems—from picking robots to self-driving cars—to perceive and interact with complex, unstructured environments. Dr. Meng’s most influential paper, "The Art of Defense: Letting Networks Fool the Attacker" (2023, 19 citations), pioneers novel defenses for 3D deep learning classifiers against adversarial attacks on point cloud data, a vital contribution for securing autonomous vehicles and robots. She further advanced agricultural robotics with "GardenMap" (2022, 11 citations), developing static point cloud mapping tailored for garden environments. Her recent innovations include a fast non-singular terminal sliding mode controller for binocular vision systems on picking robots (2024), enhancing trajectory tracking accuracy, and LESA-Net (2024), a semantic segmentation network for multi-type road point clouds in complex agroforestry settings. With a growing citation impact, Dr. Meng’s work is foundational for robust, safe, and intelligent robotic systems operating in the wild, bridging the gap between theoretical robustness and real-world deployment.