Papers
6
Total Citations
86
H-Index
5
About
Chengrong Qiu is a robotics researcher whose work bridges industrial automation, intelligent perception, and multi-manipulator coordination. His primary research areas include collaborative welding robotics, trajectory optimization, and vision-guided robotic systems for manufacturing and agriculture. Qiu’s most impactful contributions center on the kinematics and trajectory planning of collaborative welding robots with multiple manipulators, particularly for dual-beam laser welding of aircraft double-curved panels in the aerospace industry. His 2019 paper on kinematics analysis and trajectory planning has garnered 35 citations, while his follow-up work on time-energy optimal trajectory planning (2020) has received 32 citations, demonstrating significant influence in the field of robotic motion optimization. Qiu has also advanced agricultural robotics, developing a tomato harvesting robot system based on binocular vision and deep learning (2021). His work on robot TCP calibration using binocular vision (2021) and a PLC-ROS 2 framework for industrial manipulation (2022) showcases his versatility in integrating perception, control, and software systems. With a growing citation record and applications spanning aerospace, manufacturing, and agriculture, Qiu is establishing himself as a practical innovator in collaborative and vision-based robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Tomato Harvesting Robot System Based on Binocular Vision5 citations · 2021
- 5
- 6Automatic Calibration Algorithm of Robot TCP Based on Binocular Vision3 citations · 2021