Ziqian Qin
Papers
1
Total Citations
4
H-Index
1
About
Dr. Ziqian Qin is a robotics researcher whose work focuses on the intersection of autonomous navigation and physical manipulation, particularly for unstructured environments. Her most cited paper, "Vision-Based Obstacle Removal System for Autonomous Ground Vehicles Using a Robotic Arm" (2019), introduces a novel mobile platform that integrates computer vision with a robotic arm to enable unmanned ground vehicles (UGVs) to not only detect but actively clear obstacles from their path. This contribution addresses a critical gap in autonomous systems—moving beyond passive navigation to active environmental interaction. While her citation count is currently modest, the work is foundational for applications in cluttered settings like construction sites and disaster zones, where traditional path-planning fails. Dr. Qin’s research demonstrates a practical, systems-level approach to field robotics, combining perception, control, and manipulation. Her work is particularly relevant for students and researchers interested in mobile manipulation, vision-guided robotics, and the challenges of deploying autonomous systems in real-world, non-ideal conditions.
Research Focus
Key Achievements
Top Papers
- 1