Zheng‐Lin Mou

Papers

Total Citations

H-Index

About

Zheng-Lin Mou is a rising innovator in the field of soft robotics and intelligent sensing systems, with a focus on bio-inspired design and triboelectric technology. His research centers on developing soft grippers and tactile sensors that mimic natural organisms, particularly for challenging underwater environments. Mou’s most-cited work, the “Octopus-inspired soft gripper with embedded triboelectric tactile sensor for underwater target recognition and grasp” (2025), has already garnered 20 citations, demonstrating its immediate impact. This paper introduces a groundbreaking integration of a soft gripper with a self-powered triboelectric sensor, enabling precise object recognition and adaptive grasping in aquatic settings—a critical advancement for marine exploration, environmental monitoring, and underwater robotics. By combining biomimicry with energy-harvesting principles, Mou addresses key limitations in traditional rigid underwater manipulators, offering a more dexterous and sustainable solution. His contributions highlight a promising trajectory in merging soft robotics with smart materials, positioning him as a notable figure in next-generation robotic systems. For students and researchers, Mou’s work exemplifies how interdisciplinary approaches can solve real-world challenges, inspiring further innovation in autonomous underwater vehicles and human-robot interaction.