Jianxun Li

About

Jianxun Li is a robotics researcher whose work bridges perception, manipulation, and automation. His primary research areas include hand-eye calibration for vision-guided robotic systems, bin picking, and agricultural robotics. Li has made significant contributions to hand-eye parameter estimation, developing novel methods that determine the geometric transformation between cameras and robots—a critical step for precise visual servoing. His 2024 paper on this topic has already garnered 7 citations. In industrial automation, Li designed the SCARA+ bin picking system for revolution-symmetry objects, addressing both efficiency and cost-effectiveness in commercial applications. His work extends to agricultural robotics, where he engineered a specialized shiitake mushroom picking grasper that accounts for stipe compressive stress relaxation to minimize crop damage. Li has also contributed to smart grid monitoring, developing the Dir-MUSIC algorithm for partial discharge direction-of-arrival estimation using inspection robots. With additional work on SCARA robot calibration and micromouse design, Li demonstrates a versatile approach to solving real-world robotic challenges, from factory floors to mushroom farms.

Research Focus

Key Achievements

Top Papers

1. 1
   Hand–Eye Parameter Estimation Based on 3-D Observation of a Single Marker

   7 citations · 2024
2. 2
   SCARA+ System: Bin Picking System of Revolution-Symmetry Objects

   7 citations · 2024
3. 3
   Design of Shiitake Mushroom Robotic Picking Grasper: Considering Stipe Compressive Stress Relaxation

   5 citations · 2024
4. 4
   Dir-MUSIC Algorithm for DOA Estimation of Partial Discharge Based on Signal Strength Represented by Antenna Gain Array Manifold

   4 citations · 2022
5. 5
   A Design of Micromouse Based on ARM

   3 citations · 2022
6. 6
   Nonsingular Hand-Eye and Robot-World Calibration for SCARA-Type Robots: A Comparative Study

   2 citations · 2025

Key Collaborators

Contact & Links