Zeng Hou

Academia Sinica, Chinese Academy of Sciences

Papers

Total Citations

H-Index

About

Zeng Hou’s research career is defined by a deep commitment to advancing intelligent robotics, with a particular focus on rehabilitation engineering and autonomous navigation. His most impactful work, a 2012 paper on the "Design and Analysis of a Lower Limb Rehabilitation Robot" (7 citations), introduces a novel robotic system featuring two mechanical legs with three degrees of freedom. This design is notable for its patient-centered adaptability, allowing the length of the legs and the seat back angle to be adjusted for a wide range of users, enabling both single-joint and multi-joint therapy. Beyond rehabilitation, Hou has made significant contributions to mobile robot autonomy. His 2010 study on "Topological localisation based on monocular vision and unsupervised learning" (3 citations) tackles the fundamental challenge of global localization, using a single camera and natural landmarks for scene recognition. Earlier, in 2006, he explored "Distributed visual navigation based on neural Q-learning" (2 citations), pioneering a multi-processor architecture for reinforcement learning-based navigation. While his citation counts reflect a focused, niche impact, Hou’s work bridges critical gaps in both assistive medical technology and intelligent, vision-based robotic control.