The emergence of the Internet of things and the widespread deployment of diverse
computing systems have led to the formation of heterogeneous multi-agent systems (MAS) …

A key challenge in intelligent robotics is creating robots that are capable of directly
interacting with the world around them to achieve their goals. The last decade has seen …

Abstract Human–Robot Interaction challenges Artificial Intelligence in many regards:
dynamic, partially unknown environments that were not originally designed for robots; a …

Autonomous robots facing a diversity of open environments and performing a variety of tasks
and interactions need explicit deliberation in order to fulfill their missions. Deliberation is …

Autonomous service robots will have to understand vaguely described tasks, such as “set
the table” or “clean up”. Performing such tasks as intended requires robots to fully, precisely …

Within the next decades, robots will need to be able to execute a large variety of tasks
autonomously in a large variety of environments. To relax the resulting programming effort, a …

<? Pub Dtl=""?> We describe a cognitive architecture learning intelligent distribution agent
(LIDA) that affords attention, action selection and human-like learning intended for use in …

From its internal representation of a building, or, its building world, a robot can retrieve a
building's information for task planning and execution. However, a building is a complex …

Within the realm of service robotics, researchers have placed a great amount of effort into
learning, understanding, and representing motions as manipulations for task execution by …

In this paper we report on a recent public experiment that shows two robots making
pancakes using web instructions. In the experiment, the robots retrieve instructions for …