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Yagiz E. Bayiz

4 accepted papers

2022

Effects of Design and Hydrodynamic Parameters on Optimized Swimming for Simulated, Fish-inspired Robots

IROS 2022poster

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…

Cited by 4SourceScholar
2020

Bio-inspired Inverted Landing Strategy in a Small Aerial Robot Using Policy Gradient

IROS 2020poster

Landing upside down on a ceiling is challenging as it requires a flier to invert its body and land against the gravity, a process that demands a stringent spatiotemporal coordination of body translational and rotational motion. Although such an aerobatic feat is routinely performed by biological fli…

Cited by 7SourceScholar
2019

Experimental Learning of a Lift-Maximizing Central Pattern Generator for a Flapping Robotic Wing

ICRA 2019poster

In this work, we present an application of a policy gradient algorithm to a real-time robotic learning problem, where the goal is to maximize the average lift generation of a dynamically scaled robotic wing at a constant Reynolds number (Re). Compared to our previous work, the merit of this work is…

Cited by 13SourceScholar
2018

Real-Time Learning of Efficient Lift Generation on a Dynamically Scaled Flapping Wing Using Policy Search

ICRA 2018poster

In this work, we present a successful application of a policy search algorithm to a real-time robotic learning problem, where the goal is to maximize the efficiency of lift generation on a dynamically scaled flapping robotic wing. The robotic wing has two degrees-of-freedom, i.e., stroke and pitch,…

Cited by 10SourceScholar