Pengfei Zhou
Papers
3
Total Citations
11
H-Index
2
About
Pengfei Zhou is a robotics researcher specializing in reconfigurable locomotion systems and adaptive manipulation for extreme environments. His work is driven by the challenges of the Qinghai-Tibet Plateau, where robots must traverse unpredictable terrains—from wetlands and gravel deserts to ice and steep slopes—while enduring severe cold and large temperature fluctuations. Zhou’s key contribution is the design and kinetic analysis of a reconfigurable wheel-crawler-integrated walking mechanism, which can transform its structure to optimize mobility across diverse surfaces. His 2023 paper on this mechanism has garnered 6 citations, laying the groundwork for robust field robotics. To further enhance performance, he applied the surface response method to study track shoe grouser effects, achieving 3 citations for optimizing traction on soft or slippery ground. Addressing thermal deformation in robotic arms, Zhou proposed a BP neural network-based compensation method for positioning errors under extreme cold, a novel solution for precision tasks in harsh climates (2 citations). His work directly supports scientific station operations on the plateau, bridging the gap between laboratory design and real-world deployment. Zhou’s research is pivotal for advancing autonomous systems in Earth’s most demanding environments.
Research Focus
Key Achievements
Top Papers
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