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About

Wenchao Ding is a robotics researcher whose work spans autonomous aerial navigation, dense 3D mapping, and safe autonomous driving. A central theme across their contributions is enabling robots to perceive and operate intelligently in complex, unknown environments. Ding pioneered the use of dual-fisheye cameras for omnidirectional perception on aerial robots, directly addressing the critical safety requirement for autonomous flight (40 citations). They further advanced real-time 3D reconstruction with a quadtree-accelerated monocular dense mapping method (24 citations), significantly reducing computational burden for robotic navigation. More recently, Ding has tackled the safety of end-to-end autonomous driving through corridor learning and planning, and introduced HGS-Planner, a hierarchical planning framework using 3D Gaussian Splatting for active scene reconstruction. Their work also explores the intersection of large language models and robotics with a smart interactive camera robot. With a portfolio that demonstrates both foundational contributions and forward-looking applications, Ding is shaping how robots perceive, map, and safely navigate the world around them.