Chih-Yin Liu

Papers

Total Citations

H-Index

About

Chih-Yin Liu is a robotics researcher whose work centers on real-time object recognition for autonomous systems, particularly home-service robots. Her most cited contribution, "Implementation of real-time object recognition system for home-service robot by integrating SURF and BRISK" (2014, 7 citations), addresses a critical challenge in domestic robotics: enabling machines to efficiently recognize both known and unknown objects in dynamic environments. Liu's key innovation lies in combining Speeded Up Robust Features (SURF) with Binary Robust Invariant Scalable Keypoints (BRISK) algorithms, while leveraging Compute Unified Device Architecture (CUDA) for parallel processing. This integration achieves significant speed improvements without sacrificing accuracy, making real-time recognition feasible for resource-constrained service robots. Her work bridges the gap between computer vision theory and practical robotics applications, demonstrating how algorithmic optimization can overcome hardware limitations. Though her citation count remains modest, Liu's research represents foundational work in the growing field of assistive robotics, where reliable object recognition is essential for tasks like item retrieval and environment navigation. Her approach continues to inform subsequent developments in lightweight, efficient vision systems for autonomous agents operating in human-centered spaces.