Chen Wang

Peking University

Papers

3

Total Citations

141

H-Index

3

About

Chen Wang is a leading researcher in bio-inspired robotics, with a particular focus on developing soft robotic systems that mimic the extraordinary capabilities of marine life. His most impactful contribution is the "Glowing Sucker Octopus-Inspired Soft Robotic Gripper for Underwater Self-Adaptive Grasping and Sensing," which has garnered 130 citations. This innovative work draws inspiration from the *Stauroteuthis syrtensis* octopus, replicating its umbrella-shaped membranes and highly evolved grasping mechanisms through a combination of 3D-printed linkages and modular silicone casting. The result is a soft gripper that can adaptively and gently grasp objects underwater while integrating sensing capabilities—a breakthrough for deep-sea exploration and delicate marine sampling. Additionally, Wang has contributed to the modeling of biomimetic propulsion, such as his work on oscillating caudal fins for underwater robots (2016), and has helped shape the field through editorial roles, including co-editing the *Frontiers in Robotics and AI* special issue "Robotics to Understand Animal Behaviour" (2022). His research elegantly bridges biology and engineering, offering practical tools for both robotics and marine biology.

Research Focus

Key Achievements

3
H-Index
3
Papers
141
Total Citations
47
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 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Peking University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago