Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
Model evolution is often supported by writing model transformation rules in specialized languages. This presents challenges to those who are unfamiliar with model transformation l...
To create a robot with a mind of its own, we extended a formalized version of a model that explains affect-driven interaction with mechanisms for goaldirected behavior. We ran sim...
Johan F. Hoorn, Matthijs Pontier, Ghazanfar F. Sid...
A web service is modeled here as a finite state machine. A composition problem for web services is to decide if a given web service can be constructed from a given set of web serv...
- This paper presents the design of an experimental system for assembly applications in space. The prototypical application is the assembly of mechanical trusses. The system used a...