Tiejun

Papers

Total Citations

H-Index

About

Tiejun is a pioneering researcher in the field of autonomous robotics, with a primary focus on intelligent motion control and real-time path planning for mobile systems. His work bridges the gap between simulated human cognition and practical robotic action, particularly in dynamic and uncertain environments. One of his major contributions is the development of a multi-mode action control approach for soccer robots, which mimics human intelligence through a "perception-planning-action" framework. By using character extraction to segment sensory inputs and applying production rules for motion control, Tiejun demonstrated that robots could react rapidly and effectively in competitive settings—achieving performance superior to traditional PID controllers in both simulation and real-world experiments. His earlier work on on-line real-time path planning further advanced the field by enabling mobile robots to navigate unpredictable obstacles without precomputed maps. Though his most-cited papers each have 6 citations, their conceptual impact is significant, laying groundwork for adaptive, human-inspired autonomy in robotics. Tiejun’s research remains a valuable reference for students and engineers seeking to integrate cognitive principles into low-level robotic control.