Tantan Zhang
Papers
2
Total Citations
59
H-Index
2
About
Tantan Zhang is a rising leader in autonomous systems and robotics, specializing in safe and optimal trajectory planning for multi-vehicle operations in complex, cluttered environments. Her research addresses critical challenges in autonomous driving and multi-robot coordination, particularly where nonconvex constraints and tight spaces demand rigorous safety guarantees. Zhang’s major contributions include the development of "Embodied Footprints," a novel collision-avoidance model that ensures safety between adjacent optimization collocation points—a key vulnerability in traditional trajectory planners. This work, cited 34 times, provides a mathematically robust framework for preventing inter-vehicle collisions in real-time planning. Her 2022 paper on fast and optimal multi-vehicle trajectory planning (25 citations) benchmarks and solves the notoriously difficult problem of coordinating multiple car-like robots in narrow, obstacle-strewn environments, achieving both computational efficiency and optimality. With over 59 combined citations on her most influential works, Zhang’s research is already shaping practical autonomous navigation systems. Her achievements include pioneering safety-guaranteed optimization methods that bridge the gap between theoretical planning and real-world deployment. For students and researchers, Zhang’s work offers a compelling model of how rigorous mathematical optimization can solve pressing safety and efficiency problems in autonomous mobility.
Research Focus
Key Achievements
Top Papers
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