Summary
Daobilige Su is a robotics researcher and postdoctoral fellow with a decade of experience specializing in agricultural robotics, SLAM, robot perception and high-throughput phenotyping. He has combined academic leadership as an Associate Professor in China with hands-on field work at the Australian Centre for Field Robotics, developing perception systems for platforms like Ladybird, RIPPA and digital farmhand using deep learning and SLAM. His background spans international research stints including a Honda Research Institute internship and multidisciplinary training across universities in Australia, Japan, Italy and Poland. Known for translating cutting-edge perception research into practical field robots, he brings rare expertise at the intersection of agronomy, machine learning and real-world robot deployment.
10 years of coding experience
8 years of employment as a software developer
Master of Automation, Mechatronics, Robotics, and Automation Engineering, Master of Automation, Mechatronics, Robotics, and Automation Engineering at Università degli Studi di Genova
Mechatronics, Robotics, and Automation Engineering, Mechatronics, Robotics, and Automation Engineering at 慶応義塾大学 / Keio University
Doctor of Philosophy (PhD), Mechatronics, Robotics, and Automation Engineering, Doctor of Philosophy (PhD), Mechatronics, Robotics, and Automation Engineering at University of Technology, Sydney
Warsaw University of Technology
Bachelor of Engineering (BEng), Mechatronics, Robotics, and Automation Engineering, 3.63/4.0, Bachelor of Engineering (BEng), Mechatronics, Robotics, and Automation Engineering, 3.63/4.0 at Zhejiang University
English, Chinese, Mongolian