Thomas Fischer — accepted AI-conference papers

2016

Stereo vision-based localization for hexapod walking robots operating in rough terrains

Thomas Fischer, Taihú Pire, Petr Čížek, Pablo De Cristóforis, Jan Faigl

IROS 2016poster

This paper concerns the self-localization problem of a hexapod walking robot operating in rough terrains. Given that legged robots exhibit higher terrain passability than wheeled or tracked platforms when operating in harsh environments, they constitute a challenge for the localization techniques be…

Cited by 18 Source ↗Scholar ↗

2015

Stereo parallel tracking and mapping for robot localization

Taihú Pire, Thomas Fischer, Javier Civera, Pablo De Cristóforis, Julio Jacobo Berlles

IROS 2015poster

This paper describes a visual SLAM system based on stereo cameras and focused on real-time localization for mobile robots. To achieve this, it heavily exploits the parallel nature of the SLAM problem, separating the time-constrained pose estimation from less pressing matters such as map building and…

Cited by 175 Source ↗Scholar ↗