Dapeng Wan
Papers
2
Total Citations
5
H-Index
2
About
Dapeng Wan is a researcher at the forefront of intelligent robotics and machine vision, with a focused expertise in robotic arm manipulation and object detection. His work addresses the critical challenge of enabling robots to perceive and interact with complex, cluttered environments. Wan’s most notable contributions include the development of an oriented bounding box detection algorithm specifically designed for dense scenarios in robotic arm operation (2025, 3 citations), a method that significantly improves precision in object localization for grasping tasks. His earlier work on intelligent grasping based on machine vision recognition (2024, 2 citations) laid the groundwork for integrating advanced visual perception with robotic control, simulating how robots can autonomously identify and handle objects. By tackling the practical demands of industrial automation, Wan’s research directly supports the growing need for smarter, more adaptive machinery. His achievements highlight a commitment to bridging computer vision and robotics, offering impactful solutions that enhance the efficiency and intelligence of robotic systems in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2