← Search

Marina Kollmitz

3 accepted papers

2020

Learning Human-Aware Robot Navigation from Physical Interaction via Inverse Reinforcement Learning

IROS 2020poster

Autonomous systems, such as delivery robots, are increasingly employed in indoor spaces to carry out activities alongside humans. This development poses the question of how robots can carry out their tasks while, at the same time, behaving in a socially compliant manner. Further, humans need to be a…

Cited by 44SourceScholar
2020

Predicting Obstacle Footprints from 2D Occupancy Maps by Learning from Physical Interactions

ICRA 2020poster

Horizontally scanning 2D laser rangefinders are a popular approach for indoor robot localization because of the high accuracy of the sensors and the compactness of the required 2D maps. As the scanners in this configuration only provide information about one slice of the environment, the measurement…

Cited by 5SourceScholar
2018

Whole-Body Sensory Concept for Compliant Mobile Robots

ICRA 2018poster

Most of the conventional approaches to mobile robot navigation avoid any kind of contact with the environment or with humans. As nowadays distance sensors typically have a limited - and often only two-dimensional - field of view, collisions with the environment or contacts with humans cannot be full…

Cited by 19SourceScholar