Approaches to Probabilistic Model Learning for Mobile Manipulation Robots

Mobile manipulation robots are envisioned to provide many useful services both in domestic environments as well as in the industrial context.

Examples include domestic service robots that implement large parts of the housework, and versatile industrial assistants that provide automation, transportation, inspection, and monitoring services. The challenge in these applications is that the robots have to function under changing, real—world conditions, be able to deal with considerable amounts...