4 accepted papers
Fish use their lateral lines to sense flows and pressure gradients, enabling them to detect nearby objects and organisms. Towards replicating this capability, we demonstrated successful leader-follower formation swimming using flow pressure sensing in our undulatory robotic fish (<tex xmlns:mml="htt
Here we present the development of an autonomous modular swimming robot. This robot, named µBot 2.0, was upgraded from our previous robot platform µBot and features onboard computing, sensing, and power. Its compact size and modularity render the robot an ideal platform for studying bio-inspired rob…
In this work, we developed a mathematical model and a simulation platform for a fish-inspired robotic template, namely Magnetic, Modular, Undulatory Robot (\mu \text{Bot})(\mu \text{Bot}). Through this platform, we systematically explored the effects of robot design and fluid parameters on swimming…
Here we developed an experimental platform with a magnetic, modular, undulatory robot (μBot) for studying fish-inspired underwater locomotion. This platform will enable us to systematically explore the relationship between body morphology, swimming gaits, and swimming performance via reinforcement l…