Chang-Mou Yang
Papers
1
Total Citations
9
H-Index
1
About
Chang-Mou Yang is a robotics researcher whose work centers on intelligent robotic systems, particularly those requiring high-speed perception and real-time decision-making. His most notable contribution is the design and implementation of a ball-batting robot, which integrates a four-joint robotic arm with a high-speed stereovision system. This system tracks and predicts the trajectory of a flying ball, enabling the robot to make optimal batting decisions and successfully strike the ball in mid-air. This work, published in 2014 and cited 9 times, showcases Yang's expertise in merging computer vision, trajectory prediction, and robotic control to create dynamic, interactive machines. While his citation count is modest, the research demonstrates a practical application of robotics in fast-paced environments, offering insights into the challenges of real-time object tracking and manipulation. Yang's contributions are valuable for students and researchers interested in the intersection of vision-based control and robotic sports, highlighting the complexities of building systems that can react to unpredictable, high-speed events.
Research Focus
Key Achievements
Top Papers
- 1