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 …

Machine learning has long since become a keystone technology, accelerating science and
applications in a broad range of domains. Consequently, the notion of applying learning …

Humans use signs, eg, sentences in a spoken language, for communication and thought.
Hence, symbol systems like language are crucial for our communication with other agents …

Semantic maps augment metric-topological maps with meta-information, ie l semantic
knowledge aimed at the planning and execution of high-level robotic tasks. Semantic …

Integrating computer vision and natural language processing is a novel interdisciplinary field
that has received a lot of attention recently. In this survey, we provide a comprehensive …

In daily human interactions, spatial reasoning occupies an important place. In this paper we
present a situation assessment reasoner that generates relevant symbolic information from …

Any service robot should be able to make decisions and schedule tasks to reach predefined
goals such as opening a door or assisting users at home. However, these processes are not …

Service robots are expected to play an important role in our daily lives as our companions in
home and work environments in the near future. An important requirement for fulfilling this …

In this work, we take a step towards bridging the gap between the theory of formal synthesis
and its application to real-world, complex, robotic systems. In particular, we present an end …

A robot participating in natural dialogue with a human interlocutor may need to discuss,
reason about, or initiate actions concerning dialogue-referenced entities. To do so, the robot …