The below videos and accompanying resources have been made available by subject professionals for view and study.
Professor Alessandro De Luca
Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Italy
Detection and isolation of faults in robot actuators
- Full video - full document
Sensorless collision detection/isolation and robot reaction
Human-robot coexistenxe and collaboration
Accompanying slides for the webinar series
The Hearing Robots: it's all about the noise!
AI-Based Development Methodology for Advanced Robotic Systems
Philip Kurrek -
Institut Engineering Desing of Mechatronic Systems and PLM, Albrechtstr, Deutschland
Intelligence based Post Gripping Perception for Industrial Robots
Zoghlami - Institut Engineering Desing of Mechatronic Systems and PLM,
Automated technologies for systematic reviewAlex Bannach-Brown - Postdoctoral Research Fellow, CAMARADES Berlin, QUEST Centre, Berlin Institute of Health, Charité – Universitätsmedizin Berlin.
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.
Systematic reviews: how we use them in health care research and how they can be used in other disciplines
Associate Professor of Evidence Based Dentistry
Overview of the work in Amatrice during the earthquake
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.
- Point cloud mapping UAV, AGV
- Depth estimation Amatrice
- Indoor OpenVSlam with 360° camera
- Small drones and AI
Some examples for UAV and cameras:
Natural Language Processing and Teamwork Support for Robot Assisted Disaster Response
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.
Smart Wearable Robotic
Hang Su - Research Fellow, Department of Electronics, Information and Bioengineering (DEIB) of Politecnico Di Milano. Italy
SLAM: A bit of History
Giorgio Grisetti - Associate Professor, Department of Computer, Control and Management Engineering "A. Ruberti". Sapienza University of Rome, Italy.
Secrets of seeing the dynamic world - from visual motion perception to biorobotsShigang Yue - School of Computer Science, University of Lincoln
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, Prof. 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.