Mingxin Wu

Peking University

Papers

8

Total Citations

319

H-Index

6

About

Mingxin Wu is an emerging robotics researcher whose work sits at the compelling intersection of bio-inspired design, soft robotics, and autonomous systems. Drawing inspiration from nature's most adaptive creatures — octopuses, tortoises, fruit-fly larvae, and fish — Wu has pioneered soft robotic systems capable of operating across demanding terrestrial, aquatic, and hybrid environments. Wu's most celebrated contribution, the glowing sucker octopus-inspired soft robotic gripper (2022, 130 citations), demonstrated remarkable underwater self-adaptive grasping and sensing capabilities, establishing a new benchmark for biologically inspired manipulation. This work was complemented by a subsequent octopus-inspired gripper (2024, 62 citations) that transcended traditional arm-mounted configurations by integrating crawling and swimming locomotion. His tortoise-inspired amphibious soft robot (2022, 58 citations) further showcased his ability to translate evolutionary biomechanics into functional, fully 3D-printed platforms capable of multi-terrain adaptation. Beyond grasping, Wu's research spans origami-based robotic grippers, fabric-stacking fabrication methods, and sensorimotor transfer from biological fish to robotic systems. His growing portfolio — accumulating over 300 citations within just a few years — reflects both the originality and practical relevance of his research, making him a notable voice in next-generation soft and bio-inspired robotics.

Research Focus

Key Achievements

6
H-Index
8
Papers
319
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Glowing Sucker Octopus (<i>Stauroteuthis syrtensis</i>)‐Inspired Soft Robotic Gripper for Underwater Self‐Adaptive Grasping and Sensing
130 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Peking University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago