Victor Manuel Hernandez Bennetts — accepted AI-conference papers

2017

Enabling Flow Awareness for Mobile Robots in Partially Observable Environments

Tomasz Piotr Kucner, Martin Magnusson, Erik Schaffernicht, Victor Manuel Hernandez Bennetts, Achim J. Lilienthal

RA-L 2017

Understanding the environment is a key requirement for any autonomous robot operation. There is extensive research on mapping geometric structure and perceiving objects. However, the environment is also defined by the movement patterns in it. Information about human motion patterns can, e.g., lead t

Cited by 64 Source ↗Scholar ↗

2017

Probabilistic Air Flow Modelling Using Turbulent and Laminar Characteristics for Ground and Aerial Robots

Victor Manuel Hernandez Bennetts, Tomasz Piotr Kucner, Erik Schaffernicht, Patrick P. Neumann, Han Fan, Achim J. Lilienthal

RA-L 2017

For mobile robots that operate in complex, uncontrolled environments, estimating air flow models can be of great importance. Aerial robots use air flow models to plan optimal navigation paths and to avoid turbulence-ridden areas. Search and rescue platforms use air flow models to infer the location

Cited by 18 Source ↗Scholar ↗

2016

The right direction to smell: Efficient sensor planning strategies for robot assisted gas tomography

Muhammad Asif Arain, Erik Schaffernicht, Victor Manuel Hernandez Bennetts, Achim J. Lilienthal

ICRA 2016

Creating an accurate model of gas emissions is an important task in monitoring and surveillance applications. A promising solution for a range of real-world applications are gas-sensitive mobile robots with spectroscopy-based remote sensors that are used to create a tomographic reconstruction of the

Cited by 11 Source ↗Scholar ↗