Kehui Xiao

Papers

Total Citations

102

H-Index

About

Kehui Xiao is a researcher at the forefront of agricultural robotics, with a primary focus on developing intelligent systems for fruit harvesting and autonomous navigation in complex field environments. Her most influential work, “Characterizing apple picking patterns for robotic harvesting” (94 citations), provides foundational insights into the biomechanics of fruit detachment, enabling the design of more efficient and less damaging robotic grippers. Xiao also made significant contributions to robot mobility with her paper on a turning model for agricultural robots (8 citations), where she introduced a novel real-time turning angle acquisition method using a tri-axial acceleration sensor. By proposing the radial and tangent algorithms—distinct from conventional approaches—she advanced the precision of autonomous navigation for farm machinery. Her research directly addresses critical challenges in agricultural automation, bridging the gap between sensor technology and practical field robotics. With her work cited by peers developing next-generation harvesting and navigation systems, Xiao is recognized for combining rigorous sensor-based modeling with real-world agricultural applications, making her a key contributor to the future of precision farming.