Daniel B. Quinn — accepted AI-conference papers

2025

BlueKoi: Combining a Tuna-Inspired Tail and Koi-Inspired Body Bending for Maneuverability

Irene Sha, Daniel B. Quinn, Radhika Nagpal

IROS 2025

As marine ecosystems face rapid declines, field observations have become essential for better understanding our oceans. Fish-inspired robots are a promising solution, as they are less disruptive than propeller-based approaches in sensitive environments. However, in both fish and fish-inspired robots

Cited by 0 Source ↗Scholar ↗

2022

Development of a Stingray-inspired High-Frequency Propulsion Platform with Variable Wavelength

Qiang Zhong, Yicong Fu, Leo Liu, Daniel B. Quinn

IROS 2022poster

Undulatory fin motions in fish-like robots are typically created using intricate arrays of servo motors. Motor arrays offer impressive versatility in terms of kinematics, but their complexity leads to constraints on size, hydrodynamic force production, and power consumption, particularly when studyi…

Cited by 4 Source ↗Scholar ↗