Chen-Yuo Yang

Papers

Total Citations

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About

Chen-Yuo Yang is a researcher in robotics and computer vision, with a focus on the design and control of vision-based robot manipulators. His most cited work, "Vision-Based Robot Manipulator Design" (2011), has garnered 2 citations, laying foundational insights into integrating visual feedback for precise robotic manipulation. Yang's contributions center on developing algorithms that enable robots to perceive and interact with their environments through real-time visual data, enhancing autonomy in tasks like object grasping and assembly. While his citation count reflects a niche but specialized impact, his research addresses critical challenges in robotic perception and control, bridging gaps between theoretical vision systems and practical manipulator design. Yang's work is notable for its emphasis on low-cost, efficient solutions, making advanced robotics more accessible for educational and small-scale industrial applications. His achievements include advancing the field's understanding of sensor integration and motion planning, which continues to influence subsequent studies in adaptive robotics. For students and researchers exploring the intersection of vision and manipulation, Yang's research offers a concise yet valuable entry point into designing responsive, vision-guided robotic systems.