2 citations · 2 across the 5 of their papers we have counts for
5 papers
Leader-follower formation enabled by pressure sensing in free-swimming undulatory robotic fish
Kundan Panta, Hankun Deng, Micah DeLattre +1
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 succe…
Robot motor learning shows emergence of frequency-modulated, robust swimming with an invariant Strouhal-number
Hankun Deng, Donghao Li, Colin Nitroy +3
Fish locomotion emerges from a diversity of interactions among deformable structures, surrounding fluids and neuromuscular activations, i.e., fluid-structure interactions (FSI) con…
Inverted Landing in a Small Aerial Robot via Deep Reinforcement Learning for Triggering and Control of Rotational Maneuvers
Bryan Habas, Jack W. Langelaan, Bo Cheng
Inverted landing in a rapid and robust manner is a challenging feat for aerial robots, especially while depending entirely on onboard sensing and computation. In spite of this, thi…
Effects of Design and Hydrodynamic Parameters on Optimized Swimming for Simulated, Fish-inspired Robots
Donghao Li, Hankun Deng, Yagiz E. Bayiz +1
In this work we developed a mathematical model and a simulation platform for a fish-inspired robotic template, namely Magnetic, Modular, Undulatory Robotics (Bots). Through this…
Optimal Inverted Landing in a Small Aerial Robot with Varied Approach Velocities and Landing Gear Designs
Bryan Habas, Bader AlAttar, Brian Davis +2
Inverted landing is a challenging feat to perform in aerial robots, especially without external positioning. However, it is routinely performed by biological fliers such as bees, f…