Large-amplitude chatter vibrations are one of the most important phenomena in machining processes. It is often detrimental cutting operations causing a poor surface finish and decreased tool life. Therefore, detection using machine learning has been an active research area over last decade. Three challenges can be identified applying for at large industry: insufficient understanding universalit...

Autonomous navigation has become an increasingly popular machine learning application. Recent advances in deep learning have also brought huge improvements to autonomous navigation. However, prior outdoor autonomous navigation methods depended on various expensive sensors or expensive and sometimes erroneously labeled real data. In this paper, we propose an autonomous navigation method that doe...

RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems whichconsist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated soc...

In this paper we discuss the relationship between autonomous agents and their principals within an Electronic Institution. We propose the use of 3D virtual environments to allow humans to establish trust on the behaviour of their agents and override the agent’s decision process whenever they consider it necessary. Each avatar in the 3D virtual environment can be manipulated both by an autonomou...

Students’ motivation has been identified as a critical factor for meaningful engagement and positive academic achievement in various educational settings. In particular, self-regulation strategies have been identified as important skills in online learning environments. However, applying self-regulation strategies, such as goal setting, strategic planning, and reflect performance takes signific...

Autonomous Mental Development (AMD) of robots opened a new paradigm for developing machine intelligence, using neural network type of techniques and it fundamentally changed the way an intelligent machine is developed from manual to autonomous. The work presented here is a part of SAIL (Self-Organizing Autonomous Incremental Learner) project which deals with autonomous development of humanoid r...