Peiqi Jin
Papers
2
Total Citations
6
H-Index
2
About
Peiqi Jin is a researcher at the forefront of autonomous robotics, with a primary focus on enabling intelligent navigation and digital modelling in complex, unstructured environments. Her work bridges the critical gap between robotic perception and real-world application, particularly in agriculture and unknown terrains. In her highly cited 2024 paper, "A Context-Aware Navigation Framework for Ground Robots in Horticultural Environments," Jin introduced a novel LiDAR SLAM-based semantic mapping algorithm that allows robots to autonomously map and navigate intricate gardening scenes. This foundational contribution, garnering 4 citations, directly addresses the automation needs of modern agriculture. Expanding her impact, Jin also developed "A Flying Explorer for Autonomous Digital Modelling in Wild Unknowns," a pioneering solution for robot odometry and path planning in completely unknown spaces. This work, with 2 citations, is a crucial step toward the future of Digital Twinning, enabling automated exploration and environmental modelling. By tackling the challenges of both ground and aerial robotics, Peiqi Jin is shaping the next generation of autonomous systems that can intelligently perceive, navigate, and model our world.
Research Focus
Key Achievements
Top Papers
- 1
- 2