Papers
9
Total Citations
147
H-Index
5
About
Bingxi Jia is a leading researcher in multi-view geometry-based visual perception and control for robotic systems. His work focuses on enabling robots—from nonholonomic mobile platforms to industrial manipulators—to perceive and navigate their environments using monocular cameras, a cost-effective yet challenging sensor modality. Jia’s major contributions include pioneering the use of the trifocal tensor for adaptive visual trajectory tracking, allowing mobile robots to follow prerecorded image sequences without precise camera calibration. He has also advanced visual servoing under field-of-view constraints, developing switched control strategies that maintain target visibility during tracking and regulation tasks. His research integrates appearance and geometric information for robust monocular road detection, critical for autonomous navigation. With over 140 citations across his top papers, Jia’s most influential work, “Trifocal Tensor-Based Adaptive Visual Trajectory Tracking Control of Mobile Robots,” has garnered 72 citations, underscoring its impact. He is also the author of the book *Multi-View Geometry Based Visual Perception and Control of Robotic Systems*, a comprehensive resource that distills his expertise for students and practitioners. Jia’s work bridges theoretical geometry and practical robotics, offering elegant solutions to real-world perception and control challenges.
Research Focus
Key Achievements
Top Papers
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- 4Introduction to Visual Perception10 citations · 2018
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