Qiuyang He
Papers
3
Total Citations
16
H-Index
3
About
Qiuyang He is a researcher specializing in intelligent robotics, computer vision, and neural network control systems, with a particular focus on billiard-playing robots. His work bridges the gap between theoretical machine learning and practical robotic manipulation in dynamic, real-world environments. He’s best known for designing an efficient multi-objective recognition approach for an 8-ball billiards vision system (2018, 10 citations), which enables robots to perceive and interpret complex table layouts. In earlier foundational work, he developed a multiple Neural Network compensator for a billiard robot (2015, 3 citations), allowing the robot to execute precise shots with multiple cushion rebounds by learning to correct for real-world physics. He also proposed a dynamic model based on fuzzy neural networks (2016, 3 citations) to predict the final position of the cue ball after collisions, establishing a novel collision coordinate system. Though his citation counts are modest, He’s contributions are notable for their innovative integration of neural network architectures with robotic control in a challenging, non-linear domain. His work offers valuable insights for researchers interested in applied AI, sensorimotor control, and the intersection of computer vision and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design of the multiple Neural Network compensator for a billiard robot3 citations · 2015
- 3Dynamic modeling based on fuzzy Neural Network for a billiard robot3 citations · 2016