Pengfei Zhu

Southwest Jiaotong University, Tianjin University

Papers

Total Citations

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About

Pengfei Zhu is a robotics researcher whose work bridges the gap between bio-inspired design and intelligent perception. His primary research areas include soft robotics, amphibious locomotion, and semantic mapping for human-robot interaction. Zhu’s most notable contribution is the development of a light-driven amphibious mini soft robot that mimics the locomotion gaits of an inchworm and a water strider (2023, 22 citations). This innovative design addresses a longstanding challenge in robotics: achieving agile movement across both land and water environments, which have vastly different physical properties. By integrating a simple structure with a light-driven actuation system, Zhu’s robot demonstrates a novel approach to multi-terrain mobility, opening new possibilities for environmental monitoring and search-and-rescue operations. In addition to his work in soft robotics, Zhu has contributed to semantic mapping in indoor environments (2021, 2 citations), where he combines deep neural networks with SLAM-based maps to enable robots to understand human semantic instructions. This work is crucial for advancing intuitive human-robot interaction. Pengfei Zhu’s research exemplifies the fusion of biological inspiration and artificial intelligence, making him a promising figure in the next generation of robotics innovation.