Min‐Hsiung Lin

North Carolina State University

Papers

5

Total Citations

93

H-Index

3

About

Min-Hsiung Lin is a pioneering researcher in the field of intelligent robotics, with a career dedicated to advancing multi-sensor integration and data fusion systems for autonomous robot workstations. His work has centered on enabling robots to perceive and interact with complex environments through the seamless combination of diverse sensory inputs, including overhead vision, eye-in-hand vision, proximity sensing, and tactile arrays, primarily demonstrated on the Unimation PUMA 560 platform. Lin's most influential contribution, "The Issues and Approaches of a Robot Multi-Sensor Integration" (2005, 47 citations), synthesizes decades of research into a comprehensive framework for intelligent robot sensing. His earlier foundational work, "Dynamic Multi-Sensor Data Fusion System for Intelligent Robots" (1988, 33 citations), was among the first to tackle real-time sensor fusion in robotic systems, laying groundwork that continues to influence the field. His development of novel automatic focusing algorithms — including Energy Maximization and Histogram Variance Maximization — demonstrated innovative thinking in reducing computational overhead for computer vision systems. With a hierarchical approach to sensor fusion and pioneering 3D object recognition techniques using combined vision systems, Lin's cumulative contributions represent an important early chapter in the evolution of intelligent, perception-driven robotics.

Research Focus

Key Achievements

3
H-Index
5
Papers
93
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
The issues and approaches of a robot multi-sensor integration
47 citations · 2005
📈 Most Prolific Year: 1987 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: North Carolina State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago