Shengdong Xu

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About

Shengdong Xu is a leading researcher in autonomous robotics, with a primary focus on real-time 3D navigation for micro aerial vehicles (MAVs). His most cited work, "Real-time 3D navigation for autonomous vision-guided MAVs" (2015, 20 citations), tackles one of the field’s most difficult challenges: enabling MAVs to navigate safely through unknown environments without prior maps. Xu’s key contribution lies in integrating incremental 3D mapping from raw sensor data with efficient path planning, allowing MAVs to build and use geometric maps on the fly. This work has been foundational for advancing vision-guided autonomy in constrained, dynamic settings. Beyond this paper, Xu’s research continues to push the boundaries of perception and planning for aerial robots, with applications in search-and-rescue, inspection, and exploration. His achievements are particularly notable for bridging the gap between theoretical mapping algorithms and practical, real-time deployment on lightweight platforms. With a growing citation impact, Shengdong Xu is recognized as an important voice in the next generation of autonomous navigation research, inspiring students and engineers working toward fully self-guided aerial systems.