Chia-Chia Kao

Papers

Total Citations

H-Index

About

Chia-Chia Kao is a robotics researcher focused on autonomous navigation, path planning, and sensor integration for mobile robots operating in complex, unknown environments. Her major contributions lie in advancing the artificial potential field (APF) method for wheeled mobile robots, integrating differential GPS (DGPS) and laser sensing to enable real-time obstacle avoidance and optimal path planning. Her most-cited work, "Application of potential field method and optimal path planning to mobile robot control" (2015, 12 citations), demonstrates a robust framework for autonomous navigation without prior environmental knowledge. Kao further extended this research into rescue robotics, combining position sensors and camera systems to guide robots in disaster scenarios, as detailed in her 2021 paper (2 citations). Though her citation counts are modest, her work represents foundational steps in practical, sensor-driven mobile robot control—critical for applications in search-and-rescue and industrial automation. Kao’s research bridges theoretical path planning algorithms with real-world hardware implementation, offering valuable insights for students and engineers developing autonomous systems for unstructured environments.