Papers
4
Total Citations
74
H-Index
4
About
Pengpeng Zhi is a pioneering researcher at the intersection of robotics, intelligent control, and energy harvesting systems. Their work centers on developing autonomous navigation solutions for mobile robots in complex, cluttered environments, leveraging hybrid adaptive neuro-fuzzy inference systems and sensor fusion to overcome the limitations of traditional approaches. Zhi’s most-cited paper (37 citations) introduces a robust navigation framework that significantly improves collision-free movement in unknown settings while reducing computational costs—a critical advancement for real-world deployment. Beyond navigation, Zhi has made notable contributions to the reliability and sustainability of robotic systems, including fuzzy design optimization for fatigue analysis of welding robots (15 citations) and the integration of nanogenerators into biomimetic micro flying robots (16 citations). This latter work on self-powered wings represents a groundbreaking step toward energy-autonomous aerial robots, merging soft robotics with energy harvesting. Zhi’s research consistently addresses key challenges in uncertainty handling, computational efficiency, and system resilience, making their work highly relevant for students and engineers seeking to advance autonomous robotics, human-robot interaction, and sustainable mechatronic design.
Research Focus
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