Papers

7

Total Citations

145

H-Index

7

About

Tianguang Zhang is a robotics and computer vision researcher whose work centers on autonomous mobile systems, multi-robot coordination, and biologically inspired perception. His most significant contributions lie in the development of vision-guided autonomous quadrotors operating within air-ground multi-robot systems, where he pioneered methods for multi-sensory motion estimation using minimal onboard hardware — combining monocular cameras and inertial measurement units to achieve robust autonomous flight. His most cited work, "A vision-guided autonomous quadrotor in an air-ground multi-robot system" (2011, 52 citations), established a foundational framework for cooperative aerial-ground robotics that has influenced subsequent UAV research. Zhang has also contributed meaningfully to urban robot navigation, demonstrated through the Autonomous City Explorer (ACE) project, which enabled a mobile robot to traverse unknown city environments using visual odometry and human interaction. His exploration of attentional object detection with foveated multi-focal vision systems and insect-inspired high-speed motion vision reflects a consistent interest in translating biological sensory principles into practical robotic solutions. Collectively, his body of work bridges bio-inspired sensing, state estimation, and real-world autonomous navigation, making him a notable contributor to intelligent mobile robotics.

Research Focus

Key Achievements

7
H-Index
7
Papers
145
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
A vision-guided autonomous quadrotor in an air-ground multi-robot system
52 citations · 2011
📈 Most Prolific Year: 2009 (3 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Technical University of Munich, Institute of Automation, BMW (Germany)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago