André Farinha — accepted AI-conference papers

2020

MEDUSA: A Multi-Environment Dual-Robot for Underwater Sample Acquisition

Diego Debruyn, Raphael Zufferey, Sophie F. Armanini, Crystal E. Winston, André Farinha, Yufei Jin +1

RA-L 2020

Aerial-aquatic robots possess the unique ability of operating in both air and water. However, this capability comes with tremendous challenges, such as communication incompatibility, increased airborne mass, potentially inefficient operation in each of the environments and manufacturing difficulties

Cited by 31 Source ↗Scholar ↗

2020

Unmanned Aerial Sensor Placement for Cluttered Environments

André Farinha, Raphael Zufferey, Peter Zheng, Sophie F. Armanini, Mirko Kovac

RA-L 2020

Unmanned aerial vehicles (UAVs) have been shown to be useful for the installation of wireless sensor networks (WSNs). More notably, the accurate placement of sensor nodes using UAVs, opens opportunities for many industrial and scientific uses, in particular, in hazardous environments or inaccessible

Cited by 32 Source ↗Scholar ↗

2019

SailMAV: Design and Implementation of a Novel Multi-Modal Flying Sailing Robot

Raphael Zufferey, Alejandro Ortega Ancel, Célia Raposo, Sophie Franziska Armanini, André Farinha, Robert Siddall +3

RA-L 2019

Despite significant research progress on small-scale aerial–aquatic robots, most existing prototypes are still constrained by short operation times and limited performance in different fluids. The main challenge is to design a vehicle that satisfies the partially conflicting design requirements for

Cited by 37 Source ↗Scholar ↗