Abstract— To advance robotic science it is important to perform experiments that can be replicated by other researchers to compare different methods. However, these comparisons t...
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
We propose and analyze a distribution learning algorithm for a subclass of Acyclic Probabilistic Finite Automata (APFA). This subclass is characterized by a certain distinguishabi...
Abstract— This paper presents a novel approach to mapping for mobile robots that exploits user interaction to semiautonomously create a labelled map of the environment. The robot...
This paper briefly describes the design principles of the hardware and software of 5dpo-2000 team. An evolutive approach is presented as the robots are constantly being improved wi...