Representation of manipulation-relevant object properties and actions for surprise-driven exploration
S. Petsch, Darius Burschka · 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems · 2011
A long standing research goal is to create robots capable of interacting with humans in dynamic environments. To realise this a robot needs to understand and interpret the underlying meaning and intentions of a human action through a model of its sensory data. The visual domain provides a rich description of the environment and data is readily available in most system through inexpensive cameras. However, such data is very high-dimensional and extremely redundant making modeling challenging.