Chaochao Chen

Georgia Institute of Technology, Yanshan University

Papers

Total Citations

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About

Chaochao Chen is a researcher specializing in intelligent robotics, soft computing, and sensor-based control systems. His work focuses on integrating fuzzy logic, neural networks, and ultrasonic sensing to enable autonomous navigation and obstacle avoidance in mobile robots. Chen’s most cited paper, “Mobile robot obstacle avoidance using short memory: a dynamic recurrent neuro-fuzzy approach” (2010, 22 citations), introduces a dynamic recurrent neuro-fuzzy system (DRNFS) that learns from human-driven trajectories to navigate unknown environments—a key contribution to adaptive robotic control. His earlier work, “Ultrasonic Sensor Based Fuzzy-Neural Control Algorithm of Obstacle Avoidance for Mobile Robot” (2007, 6 citations), laid the foundation for combining low-cost sensors with intelligent algorithms. Chen also explored soft computing in sports robotics, as seen in “Identification of a golf swing robot using soft computing approach” (2010, 8 citations), demonstrating the versatility of his methods. With a cumulative impact spanning over 36 citations, Chen’s research advances the practical deployment of autonomous systems in real-world settings, offering valuable insights for students and engineers in robotics and artificial intelligence.