Philip Kurrek - Institut Engineering Desing of Mechatronic Systems and PLM, Albrechtstr, Deutschland
Firas Zoghlami - Institut Engineering Desing of Mechatronic Systems and PLM, Albrechtstr, Deutschland
Daniele Nardi - Professor of Artificial Intelligence, Department of Computer, Control and Management Engineering "A. Ruberti". Sapienza University of Rome, Italy.
Human robot interaction requires a common understanding of the operational environment, which can be provided by a representation that blends geometric and symbolic knowledge: a semantic map. Through a semantic map the robot can interpret user commands by grounding them to its sensory observations. Semantic mapping is the process that builds such a representation.
Hartmut Surmann - Professor for Autonomous Systems at Applied University of Gelsenkirchen and Researcher at the Fraunhofer Society's Institut Intelligente Analyse-und Informations system (IAIS) - German Research Center for Artificial Intelligence.
Additional resources:
Some examples for UAV and cameras:
Ivana Kruijff-Korbayova - Senior researcher, German Center for Artificial Intelligence (DFKI), Saarbruecken, Germany
Disaster response teams increasingly employ mobile robotic systems, for example for the reconnaissance of an incident site. We have been working with first responders for almost a decade to investigate teamwork in robot-assisted disaster response in realistic scenarios. With increasing autonomy, robotic systems should become agents that actively contribute to a mission. For this they need to understand the mission as it unfolds, the goals, the tasks within the human-robot team and the state of their execution.
Hang Su - Research Fellow, Department of Electronics, Information and Bioengineering (DEIB) of Politecnico Di Milano. Italy
Giorgio Grisetti - Associate Professor, Department of Computer, Control and Management Engineering "A. Ruberti". Sapienza University of Rome, Italy.
Animals, as small as insects, have an amazing ability in exploring within this dynamic visual world effortlessly. This ability has not been observed in or easy to implement to human made intelligent moving machines such as robots. By modelling bio-plausible visual neurons and their networks, we can not only further understand how animals’ visual systems work, but also move forward in developing new intelligent vision systems fit for future robots and autonomous vehicles.
In this talk, Professor Yue will introduce the most recent work in my group on modelling specific visual neurons and their pre-synaptic networks in insects with motion preferences, also recent progresses in swarm robots.
Petter Ogren - Royal Institute of Technology (KTH), Stockholm, Sweden
Panagiotis Papadakis - Maître de conférences, IMT Atlantique, France
Tomas Svoboda, Associate Professor, Department of Cybernetics, Czech Technical University in Prague
Mina Marmpena - SoftBank Robotics Europe, Paris, France & University of Plymouth,UK.
Ayse Kucukyilmaz - Assistant Professor, School of Computer Science, University of Nottingham, UK
Marc Hanheide - Professor of Intelligent Robotics & Interactive Systems School of Computer Science, University of Lincoln, UK
Presented by - Carlos A. Cifuentes, Professor and Head of the Center for Biomechatronics at Colombian School of Engineering, Julio Garavito, and Visiting Professor at EPF Graduate School of Engineering (France) and master students Diego Casas and Juan Maldonado.
Tina Mioch - Netherlands Organisation for Applied Scientific Research (TNO) in Soesterberg, The Netherlands, and Utrecht University of Applied Sciences, Utrecht, The Netherlands.
