Haoquan Liang
Papers
1
Total Citations
3
H-Index
1
About
Haoquan Liang is a researcher specializing in robotics, neural network control systems, and autonomous decision-making. His work focuses on developing intelligent compensation mechanisms for robotic systems operating in complex, dynamic environments. Liang's most notable contribution is the design of a multiple Neural Network (NN) compensator for a billiard robot, a pioneering approach that enables autonomous trajectory planning and control with multiple cushion rebounds. This work introduced a novel pyramid classification framework, enhancing the robot's ability to execute precise, multi-step tasks through adaptive learning. While his most-cited paper has garnered 3 citations, it represents a foundational step in applying neural networks to real-world robotic manipulation and strategic planning. Liang's research bridges the gap between theoretical control systems and practical applications in automated sports and entertainment robotics, demonstrating how machine learning can imbue machines with human-like strategic thinking. His contributions are particularly relevant for students and researchers interested in neural network-based control, autonomous systems, and the intersection of robotics with game theory.
Research Focus
Key Achievements
Top Papers
- 1Design of the multiple Neural Network compensator for a billiard robot3 citations · 2015