3 accepted papers
Loop closure detection is essential in visual simultaneous localization and mapping systems to recognize previously visited scenes, reducing pose and map estimates uncertainty. However, loop closure detection is highly challenging due to perceptual aliasing and scene variations in real-world environ
In many situations, users walk on typical paths between specific destinations at which the service of a mobile robot is needed. Depending on the environment and the paths, step-by-step following of the human might not be the optimal solution since better paths for the robot exist. We propose to perf…
We present an approach to learn optimal navigation actions for assistance tasks in which the robot aims at efficiently reaching the final navigation goal of a human where service has to be provided. Always following the human at a close distance might hereby result in inefficient trajectories, since…