Funded projects

SERPENT

Office of Naval Research · MURI

Relevant papers

  1. Jiayao Yan, Michael T. Tolley, Qiang Zhu, John T. Hwang. Simultaneous kinematics and shape optimization of a carangiform swimmer using gradient-based optimization. Optimization and Engineering, 2026.
  2. Andrew Fletcher, Ru Xiang, Luca Scotzniovsky, Jacobo Cervera-Torralba, Michael T. Tolley, John T. Hwang. Multidisciplinary Control Co-Design Optimization of Anguilliform-Swimming Soft Fluidic Robots. IEEE International Conference on Soft Robotics (RoboSoft), 2025, 2025.
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  3. Andrew H. Fletcher, Ru Xiang, Jacobo Cervera-Torralba, Michael T. Tolley, John T. Hwang. Multidisciplinary Design Optimization of an Eel-Inspired Soft Robot. AIAA SciTech 2025 Forum; AIAA 2025-1751, 2025.
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This collaborative research investigates flexible robotic swimming systems. The lab’s published contributions combine computational models with the simultaneous optimization of geometric and control variables.

Optimization of the eel-inspired robotic fish couples structural, hydrodynamic, and control models to reduce cost of transport. [1]

Research connections

Related to SERPENT