Haitao Li

Papers

Total Citations

H-Index

About

Haitao Li is a researcher whose work lies at the intersection of robotics, sensor-based activity inference, and elder care technology. His primary research focus involves developing intelligent systems that enable service robots to perceive and respond to human states, particularly for vulnerable populations like the elderly. His most cited work, "Detecting abnormal state of elderly for service robot with H-FCM" (2009), introduces a novel model that leverages location information extracted from SLAM maps to detect abnormal states in elderly individuals. By using a hierarchical fuzzy C-means (H-FCM) clustering approach, Li’s method transforms raw spatial data into meaningful behavioral cues, allowing robots to infer high-level activities and alert caregivers when anomalies occur. This contribution is foundational for context-aware robotic assistance, bridging the gap between low-level sensor data and actionable insights. While his citation count of 3 reflects a niche but specialized impact, his work is notable for its early integration of fuzzy logic and spatial mapping in assistive robotics—a precursor to modern ambient intelligence systems. Li’s research underscores the potential of service robots to enhance safety and independence for aging populations, making him a thoughtful contributor to human-robot interaction and smart home technologies.