Jie Pang

Southwest University of Science and Technology, Beijing Information Science & Technology University, Beijing Forestry University

Papers

Total Citations

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About

Jie Pang is a researcher whose work lies at the intersection of robotics, artificial intelligence, and autonomous systems. Their primary research areas include fault-tolerant locomotion for multi-legged robots, intelligent navigation for mobile robots, and the development of virtual agents for human-computer interaction. Pang’s most notable contribution is a pioneering study on fault-tolerant gait implementation for hexapod robots using finite state automata (FSA). This work, which has garnered 7 citations, introduced a novel strategy for maintaining stable tripod gaits even when individual leg joints fail, significantly advancing the robustness of legged robots in real-world applications. Additionally, Pang explored reinforcement learning with adaptive state space construction for mobile robot navigation (3 citations), improving learning efficiency in unknown environments. Earlier in their career, Pang proposed the concept of “Softman,” a virtual robot designed to address internet complexity and security challenges (4 citations). Though their citation counts are modest, Pang’s contributions to fault-tolerant robotics and adaptive learning systems have laid important groundwork for more resilient and intelligent autonomous machines, making their work a valuable resource for students and researchers in robotics and AI.