Genping Fu

About

Dr. Genping Fu is a robotics researcher whose work spans autonomous navigation, humanoid locomotion, and agricultural robotics. His most impactful contribution, with 80 citations, is a 2019 study on SLAM algorithms for mobile robots using LiDAR in indoor environments, conducted within the Robot Operating System (ROS) and Gazebo simulator—a foundational piece for urban search and rescue applications. Dr. Fu has also advanced humanoid robot stability, publishing two 2013 papers on ZMP error correction and yaw moment counteraction via arm swinging, each garnering 7-9 citations. More recently, he has pivoted to agricultural automation, leading the development of an autonomous banana-picking robot (2024, 7 citations) that addresses labor costs and efficiency challenges. His latest work (2025) introduces a Variable-Span Arch end-effector for dragon fruit harvesting, designed to reduce fruit damage through adaptive clamping. This trajectory from rescue robotics to precision agriculture highlights Dr. Fu’s versatility in solving real-world manipulation and perception problems, making his research valuable for students interested in field robotics and human-robot interaction.

Research Focus

Key Achievements

Top Papers

1. 1
   SLAM Algorithm Analysis of Mobile Robot Based on Lidar

   80 citations · 2019
2. 2
   Survey on Key Technology of Robocup Rescue Robot

   10 citations · 2019
3. 3
   A Yaw Moment Counteracting Method for Humanoid Robot Based on Arms Swinging

   9 citations · 2013
4. 4
   Development, Integration, and Field Experiment Optimization of an Autonomous Banana-Picking Robot

   7 citations · 2024
5. 5
   Walking Control for Humanoid Robot Based on ZMP Error Correction

   7 citations · 2013
6. 6
   Design and Performance Validation of a Variable-Span Arch (VSA) End-Effector for Dragon Fruit Harvesting

   2 citations · 2025

Key Collaborators

Contact & Links