Hong-Tze Chen

National Yang Ming Chiao Tung University

Papers

Total Citations

H-Index

About

Hong-Tze Chen is a robotics researcher whose work bridges the gap between autonomous mobile systems and intelligent sensor networks. His primary research areas include mobile robot navigation, sensor-based intrusion detection, and autonomous manipulation in complex environments. Chen’s most influential contribution is his 2008 paper on mobile robot intruder detection using a Zigbee sensor network, which has garnered 13 citations. This work pioneered the integration of wireless sensor modules with autonomous mobile robots to create a dynamic surveillance system capable of detecting intruders and abnormal conditions in real time. Building on this foundation, his 2009 study on object grasping introduced a novel method for mobile manipulators to autonomously locate and grasp target objects using Scale Invariant Feature Transform (SIFT) algorithms and virtual points, earning 9 citations. Chen’s research demonstrates a practical approach to enhancing robot autonomy, combining environmental sensing with adaptive manipulation. His work is particularly notable for its emphasis on real-world applications, from security monitoring to industrial automation, making him a respected figure in the field of intelligent robotics.