Robotic mapping provides spatial information for autonomous agents. Depending on the
tasks they seek to enable, the maps created range from simple 2D representations of the …

Despite the advances in mobile robotics, the introduction of autonomous robots in human-
populated environments is rather slow. One of the fundamental reasons is the acceptance of …

Mapping the surrounding environment is essential for the successful operation of
autonomous robots. While extensive research has focused on mapping geometric structures …

For many multi-robot problems, tasks are announced during execution, where task
announcement times and locations are uncertain. To synthesise multi-robot behaviour that is …

The recent breakthroughs in the research on Large Language Models (LLMs) have
triggered a transformation across several research domains. Notably, the integration of …

The difficulty in finding long-term planning policies for a mobile robot increases when
operating in crowded and dynamic environments. State-of-the-art approaches do not …

V této práci navrhujeme způsob, jak by se autonomní obslužný robot mohl alespoň začlenit
do lidské společnosti–aplikováním časoprostorových map umožňujících předpovědi …

Robotic mapping provides spatial information for autonomous agents. Depending on the
tasks they seek to enable, the maps created range from simple 2D representations of the …

In various scenarios, eg on a construction site, in a shopping mall, or on a street, a mobile
robot confronts pedestrians from time to time. Consequently, future paths of the robot should …

Sources of temporal uncertainty affect the duration and start time of robot actions during
execution. For example, mobile robots may slip on uneven terrain, slowing them down. The …