In this paper, we describe an approach to adapting home service robot behaviors by reusing the experience learned and interacting with humans. Experience is situation-based and is integrated into each behavior in a distributed ...

Advanced autonomous artificial systems will need incremental learning and adaptive abilities similar to those seen in humans. Knowledge from biology, psychology and neuroscience is now inspiring new approaches for systems ...

This paper presents ongoing research on assistive service robotics for health-care and home applications. The whole control system is based on a behavior-based architecture that integrates reactive behavior into a task ...

From infants to adults, each individual undergoes changes both physically and mentally through interaction with environments. These cognitive developments are usually staged, exhibited as behaviour changes and supported ...

Developmental robotics is concerned with the design of algorithms that promote robot adaptation and learning through qualitative growth of behaviour and increasing levels of competence. This paper uses ideas and inspiration ...

In this paper, we describe a new error-driven active learning approach to self-growing radial basis function networks for early robot learning. There are several mappings that need to be set up for an autonomous robot ...

The worldwide population of elderly people is rapidly growing and is set to become a major problem in the coming decades. This phenomenon has the potential to create a huge market for domestic service robots that can assist ...

Biologically inspired robotics offers the promise of future autonomous devices that can perform significant tasks while coping with noisy, real-world environments. In order to survive for long periods we believe a developmental ...