Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …

For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …

The research community is puzzled with words like skill, action, atomic unit and others when
describing robots' capabilities. However, for giving the possibility to integrate capabilities in …

The idea that connected convex surfaces, separated by concave boundaries, play an
important role for the perception of objects and their decomposition into parts has been …

This paper describes the architecture of a cognitive system that interprets human
manipulation actions from perceptual information (image and depth data) and that includes …

When a robot has to imitate an observed action sequence, it must first understand the
inherent characteristic features of the individual actions. Such features need to reflect the …

Understanding and learning the semantics of complex manipulation actions are intriguing
and non-trivial issues for the development of autonomous robots. In this paper, we present a …

This paper presents semantic-based methods for the understanding of human movements in
robotic applications. To understand human movements, robots need to first, recognize the …

Recognition of human manipulation actions together with the analysis and execution by a
robot is an important issue. Also, perception of spatial relationships between objects is …

Affordances play a crucial role in robotics since they allow developing truly autonomous
robots, which can freely explore and interact with the environment. Most of the existing …