Robotic applications have already exceeded the area of closed environments as e.g. automated production lines and are penetrating directly into a human environment, which is characterized by its diversity and heterogeneity, where new kinds of interactions emerge. These interactions are mainly between humans and robots, but also among individual robots. Intelligent spaces and intelligent buildings are sources of information, which can be used in collaboration scenarios.

This new situation brings new tasks, which require often intelligent approaches based on learning and adaptation as parts of artificial intelligence and massive computation with big data sets utilizing cloud computing and high performance computers. The goal is to create a learning system towards gathering information for collective intelligence. Therefore, it is very important to define clear relations among these particular problems and their solutions to obtain a functional system for solving complex robotic tasks.

The main objective of ISyCoR 2016 is offering a common platform for all researchers from various areas of expertise, but dealing with the intention to bring robots to a common human environment, which would be able to interact with such an environment and humans performing various tasks of daily needs.