Alan Wineman
Papers
5
Total Citations
47
H-Index
3
About
Alan Wineman is a researcher whose work bridges the fields of soft robotics, biomimetic systems, and advanced materials mechanics. His research focuses on the design and modeling of soft actuators, shape memory alloy (SMA)-driven systems, and biologically inspired robotic structures. Wineman is perhaps best known for his pioneering contributions to robotic jellyfish locomotion, demonstrating how SMA springs can serve as artificial muscles to replicate the morphology and kinematics of real jellyfish — work that has garnered over 24 citations and inspired subsequent investigations in underwater soft robotics. His contributions extend to auxetic or negative Poisson's ratio (NPR) actuator sleeves, offering novel frameworks for kinematically varied soft robot surfaces, accumulating 16 citations. Wineman has also advanced the theoretical underpinnings of soft robotics by rigorously comparing predictive modeling approaches rooted in continuum mechanics, traditional robotics, and machine learning. His investigations into nonlinear viscoelasticity in fiber-reinforced composite tubes further illuminate the material behavior critical to building safer, more resilient soft robotic systems. Collectively, his work represents a meaningful synthesis of biological inspiration, material science, and engineering innovation in the rapidly evolving landscape of soft robotics.
Research Focus
Key Achievements
Top Papers
- 1Robotic jellyfish actuated with a shape memory alloy spring24 citations · 2019
- 2Auxetic Sleeves for Soft Actuators with Kinematically Varied Surfaces16 citations · 2018
- 3
- 4A Biomimetic Robotic Jellyfish Based on Shape Memory Alloy Springs2 citations · 2020
- 5