Soft Robotic Fish

Soft robotic fish research aims to create biomimetic underwater robots capable of agile and efficient locomotion, mimicking the swimming capabilities of real fish. Current research emphasizes developing novel actuation mechanisms, such as bistable structures inspired by hairclips, to achieve high-speed undulatory swimming, and employing computer vision techniques, including convolutional neural networks, for real-time, markerless 3D shape estimation crucial for precise control. This field is significant for advancing soft robotics, providing standardized testing platforms for design optimization, and potentially impacting underwater exploration and environmental monitoring.