Baixu Liu
Papers
2
Total Citations
13
H-Index
2
About
Baixu Liu is a researcher advancing the frontier of agricultural robotics, with a focus on autonomous navigation and perception in complex orchard and vineyard environments. His work addresses critical challenges in precision agriculture, particularly in path planning and obstacle detection for field robots. Liu’s most cited paper, "Path Planning Algorithm of Orchard Fertilization Robot Based on Multi-Constrained Bessel Curve" (2024, 9 citations), introduces a novel approach that overcomes the limitations of traditional full-coverage algorithms—namely, insufficient smoothness and large curvature fluctuations that cause unsteady operation and low efficiency. By applying multi-constrained Bessel curves, his method enables smoother, more efficient trajectories for fertilization robots. In earlier foundational work, "Obstacle detection system for autonomous vineyard robots based on passthrough filter" (2018, 4 citations), Liu tackled the safety-critical problem of real-time obstacle detection using onboard 3D LiDAR in complex vineyard settings. His system creates and updates environmental representations to support dynamic path planning, a key enabler for reliable autonomous operation. Together, these contributions demonstrate Liu’s commitment to making agricultural robots more robust, efficient, and practical for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2