Papers
4
Total Citations
53
H-Index
4
About
Peijia Xie is at the forefront of autonomous mobile robotics, specializing in motion planning and multi-robot coordination for dynamic, human-centric environments. Her research directly addresses the critical challenges of reliability and efficiency in crowded spaces like airports and shopping malls. Xie’s major contributions include the development of novel risk-based motion planning algorithms, such as Multi-Risk-RRT (23 citations), which significantly improves the safe and timely navigation of robots for tasks like autonomous luggage trolley collection. She further advanced the field with NAMR-RRT (12 citations), a neural adaptive approach that overcomes the limitations of traditional planners in poorly defined search spaces. Beyond navigation, Xie has made notable strides in multi-robot systems, designing and implementing a complete framework for collaborative trolley transportation using nonholonomic robots—a practical solution that moves beyond theoretical omnidirectional models. Her work on the Autonomous Multiple-Trolley Collection System (11 citations) showcases a full-stack achievement from design to real-world control. By integrating robust motion planning with cooperative control, Xie’s research is paving the way for truly autonomous service robots in our most complex public spaces.
Research Focus
Key Achievements
Top Papers
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