We will be researching the process of collaborative robotics based on the principles of real-time environment awareness systems for mapping and communication for shared complex tasks. That is per se, a multiagent system – A series of bots, digital or physical, that being aware of the environment collaboratively, they are also aware of themselves within it and, also, about the rest of the collaborators within the bot’s population-, and it has not been yet considered with rigour within our field when proposing collaborative systems. We will be first devoted to provoking the understanding of what collaborative systems are, how they might communicate and how emergence of collaborative behaviours through gamified environment awareness will be sometimes the fundamental aim of the system. Fundamental principles of Agent Based Modelling will be introduced for then reviewing and researching collaborative bot systems from the 1960’s. The intended research will be focusing on Human-Machine-Collaboration via Agent Based Modelling and Reinforced (gamified) learning. Finally, it will be proposed a collaborative framework with a focus on shared resources via gamification procedures for further development of students’ current proposals in Studio.

Learning Objectives

The course is oriented towards the development of students’ critical thinking capacities, engaging the students in a series of debates questioning diverse approaches and possible outcomes. Students will develop a critical reflection on the proposed field related to term 3 topic (Human – Machine – Collaboration). As so the course focuses on the development of a short investigation, both in a reflexive and applicative way, developing conclusive outputs and buildings them towards propositive and innovative visions for practice in relation to robotics and the advanced construction industry.

Keywords

Distributed AI; collaborative robotics; self-awareness; multi-agent systems; FIPA; communication protocols; emergent behaviors; Artificial Intelligence; gamification.