Robotics induction. Image courtesy of Shutterstock. 
CRNS ran a series of virtual research workshops in 2020.  
Engage with cutting-edge research topics delivered by some of the world's top-cited research scholars from the fields of artificial intelligence, machine learning and robotics. 
Explore the CRNS@Webinar archive which includes recorded seminars and PDF materials which have kindly been made available by the invited speakers whom are contributing to this initiative.

Professor Alessandro De Luca

Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Italy 
Webinar series
Detection and isolation of faults in robot actuators
Sensorless collision detection/isolation and robot reaction
  • Part 1 - document slides 1-33 
  • Part 2 - document slides 34-48
Human-robot coexistenxe and collaboration

The Hearing Robots: it's all about the noise! 

Letizia Marchegiani - Assistant Professor in Robotics, Department of Electronic Systems, Aalborg University, Denmark

AI-Based Development Methodology for Advanced Robotic Systems

Philip Kurrek - Institut Engineering Desing of Mechatronic Systems and PLM, Albrechtstr, Deutschland

Artificial Intelligence based Post Gripping Perception for Industrial Robots

Firas Zoghlami - Institut Engineering Desing of Mechatronic Systems and PLM, Albrechtstr, Deutschland

Past events

Automated technologies for systematic review

Alex Bannach-Brown - Postdoctoral Research Fellow, CAMARADES Berlin, QUEST Centre, Berlin Institute of Health, Charité – Universitätsmedizin Berlin. 

Semantic Mapping

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 

Mona Nasser
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.

Additional resources:

General video resources:

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 Teleoperated Surgery

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 biorobots

Shigang 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, 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.

How Behaviour Trees create Deliberative and Reactive Robot Control Systems

Petter Ogren - Royal Institute of Technology (KTH), Stockholm, Sweden

Robotic skill learning and development in personal assistance applications

Panagiotis Papadakis - Maître de conférences, IMT Atlantique, France

Robots go deep: A System Overview of the DARPA Sub-T

Tomas Svoboda, Associate Professor, Department of Cybernetics, Czech Technical University in Prague

Further details of the DARPA Sub-T 

Emotional body language synthesis for humanoid robots

Mina Marmpena - SoftBank Robotics Europe, Paris, France & University of Plymouth,UK.

Haptic Communication in Shared Control of Human-Robot Interactive Systems

Ayse Kucukyilmaz - Assistant Professor, School of Computer Science, University of Nottingham, UK

Robotics Solutions to Strawberry Harvesting and In-Field Logistics

Marc Hanheide - Professor of Intelligent Robotics & Interactive Systems School of Computer Science, University of Lincoln, UK

CASTOR Robot: An Open-Source Social Robot Based on Compliant Soft Robotics for Therapy with Children with ASD

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.

Human-AI teaming

Tina Mioch - Netherlands Organisation for Applied Scientific Research (TNO) in Soesterberg, The Netherlands, and Utrecht University of Applied Sciences, Utrecht, The Netherlands.

Participatory design and clinical evaluation of the CASTOR Robot

Presented by Professor Dr Marcela Munera and master student, María José Pinto Bernal