Recent approaches in robot perception follow the insight that perception is facilitated by
interaction with the environment. These approaches are subsumed under the term …

We present a three-level cognitive system in a learning by demonstration context. The
system allows for learning and transfer on the sensorimotor level as well as the planning …

This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive,
mixed-initiative exploration and manipulation of its environment, where the initiative can …

Abstract Model-based reinforcement learning is a powerful paradigm for learning tasks in
robotics. However, in-depth exploration is usually required and the actions have to be …

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 …

The skill based programming eases the robot program generation, its similarity to human
behavior allows non expert operators maintaining, adapting or creating robotic applications …

Understanding continuous human actions is a non-trivial but important problem in computer
vision. Although there exists a large corpus of work in the recognition of action sequences …

In large industrial greenhouses, plants are usually treated following well established
protocols for watering, nutrients, and shading/light. While this is practical for the automation …

In this work, the problems of knowledge acquisition and information processing are explored
in relation to the definitions of concepts and conceptual processing, and their implications for …

The ability to use tools can significantly increase the range of activities that an agent is
capable of. Humans start using external objects since an early age to accomplish their …