|Title||Perspectives of Robot Action Generalisation: Challenges and Achievements|
|Publication Type||Conference Papers|
|Year of Publication||2014|
|Authors||Veskos, P, Pastra, K|
|Conference Name||International IEEE Workshop on Autonomous Cognitive Robotics|
|Conference Location||Stirling, UK.|
Making robots more accessible necessitates simplifying their skill acquisition processes. The traditional approach of programmatically specifying each skill that a robot should have is too low level and repetitive to be conveniently used by non expert users. The concept underlying this requirement for higher level communication and teaching is economy. Economy in learning is a highly desirable human skill for robots to possess: it can maximise the utility of behaviours already learnt, by reusing them in modified forms, hence minimising the overhead of training new ones.