Nowadays, robots often operate in environments that they share with humans. The ability to
act similar to humans is an important prerequisite for the social acceptance of robots. In this …

Observing human motion patterns is informative for social robots that share the environment
with people. This paper presents a methodology to allow a robot to navigate in a complex …

The social robot motion planning involves robots operating within the workspace and
alongside humans and it is thus necessary for the robots to behave socially. The current …

All over the world traffic injuries and fatality rates are increasing every year. The combination
of negligent and imprudent drivers, adverse road and weather conditions produces tragic …

We present two applications of path planning on costmaps:(i) the Probabilistic Navigation
Function uses a smoothly varying co-occurrence estimation to trade-off collision risk versus …

This paper presents work on sensor-based motion planning in initially unknown dynamic
environments. Motion detection and probabilistic motion modeling are combined with a …

This paper presents work on sensor-based motion planning in initially unknown dynamic
environments. Motion detection and modeling are combined with a smooth navigation …

One of the most challenging tasks for mobile robots is to track mobile obstacles that
surround them. This task is especially difficult in outdoor environments where a great variety …

Résumé Mobile robots are gradually appearing in our daily environments. In order to
autonomously navigate in real world environments and interact with objects and humans …

This report concludes a semester project in the field of mobile robotics at the Autonomous
System Lab (ASL) at École Polytechnique Fédérale de Lausanne. It involved tracking for the …