Sampling in the space of controls or actions is a well-established method for ensuring feasible local motion plans. However, as mobile robots advance in performance and competence ...
This paper presents a navigation framework which enables multiple mobile robots to attain individual goals, coordinate their actions and work safely and reliably in a highly dynam...
Kai Oliver Arras, Roland Philippsen, Nicola Tomati...
— Map learning is a fundamental task in mobile robotics because maps are required for a series of high level applications. In this paper, we address the problem of building maps ...
Patrick Pfaff, Rudolph Triebel, Cyrill Stachniss, ...
Abstract— Humanoids have recently become a popular research platform in the robotics community. Such robots offer various fields for new applications. However, they have several...
Cyrill Stachniss, Maren Bennewitz, Giorgio Grisett...
In this article we present a novel, hybrid graph spatial representation for robot navigation. This representation enables our mobile robot to build a model of its surroundings whi...