Tianxiao Gao

South China University of Technology, University of Macau

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About

Tianxiao Gao is an emerging robotics researcher whose work spans autonomous robot locomotion, state estimation, and vision-based localization. His foundational contribution in hexapod climbing robotics (2021, 10 citations) demonstrated both mechanical design ingenuity and algorithmic innovation, introducing a cross-plane transition gait algorithm that enables robots to autonomously navigate between multiple surfaces at altitude — a significant leap beyond conventional walking robot capabilities. More recently, Gao has carved out a distinctive niche in nocturnal robotic navigation, tackling one of the field's most persistent challenges: reliable localization in low-light conditions using only standard, low-cost cameras. His Night-Rider system (2024, 3 citations) leverages streetlight maps combined with Invariant Extended Kalman Filtering to achieve robust nighttime localization, while the follow-up Night-Voyager framework (2025, 2 citations) advances this further with consistent and efficient state estimation in object maps for round-the-clock autonomous operation. Together, these contributions reflect a research trajectory moving from physical robot design toward sophisticated perception and estimation systems, positioning Gao as a promising voice in the autonomous robotics community.