Zhixing Hou

Nanjing University of Science and Technology

Papers

Total Citations

H-Index

About

Zhixing Hou is a robotics researcher whose work centers on autonomous navigation for mobile robots in complex, human-populated environments. His key contributions lie in developing perception and localization systems that rely primarily on LiDAR and visual cues, reducing dependence on GPS or pre-mapped infrastructure. Hou’s most cited paper, "Campus Guide: A Lidar-based Mobile Robot" (2019, 8 citations), addresses a critical gap in robotics: navigating dense, dynamic campus settings using only a 16-line LiDAR sensor. This work demonstrates robust path planning and obstacle avoidance in crowded pedestrian areas, offering a scalable solution for real-world deployment. In a complementary study, "Visual Odometry for Indoor Mobile Robot by Recognizing Local Manhattan Structures" (2019, 2 citations), he advances indoor localization by exploiting geometric regularities in man-made environments, improving odometry accuracy without expensive sensors. Hou’s research is notable for its practical focus on low-cost, sensor-efficient autonomy, making it relevant for service robots, delivery drones, and assistive technologies. His work has been presented at robotics conferences and continues to influence the development of navigation systems that operate safely alongside people.