Shixin Tan

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About

Shixin Tan is a robotics researcher whose work pushes the boundaries of aerial vehicle autonomy and reconfigurable design. His primary research areas include visual-inertial ego-motion estimation, modular robotics, and control of underactuated flying systems. Tan’s most notable contribution is the development of a one-step visual-inertial estimation method that uses photometric feedback for small aerial robots. This approach, published in 2021 and accumulating 10 citations, enables robust altitude and ego-motion estimation by fusing monocular vision with inertial measurement unit data—a critical advancement for lightweight drones operating in GPS-denied environments. He is also the lead author of the innovative “SplitFlyer” project (2020, 6 citations), which introduces a modular quadcopter capable of physically disassembling into two independently flying bicopters. This work tackles the significant control challenge of severely underactuated vehicles with only two propellers, demonstrating that even minimal hardware can achieve stable flight through clever algorithm design. Tan’s research has direct implications for swarm robotics, search-and-rescue missions, and adaptive aerial platforms, marking him as an emerging leader in agile, reconfigurable drone technology.