The Centre for Robotics and Neural Systems is exited to present CRNS@Webinar, the first series of virtual research workshops for the fall 2020 semester.

The focus of these workshops is to create an interactive and virtual platform where students from our postgraduate programs, PhDs and our academic staff from different research groups can have the opportunity to engage with researchers from national and international academic and research institutions on advanced topics in Artificial Intelligence, Machine Learning and Robotics.

Each webinar will last about 45 minutes, and will feature a guest lecturer and an interactive Q&A session.

The webinars are streamed live via Zoom, where they are recorded and archived prior consent of the speakers.

Using Zoom during the session

If you are early to the meeting, Zoom will update and refresh your page when the meeting host has started the meeting. Your camera and microphone will be automatically turned off and muted when you enter the session and will remain so throughout.

Your zoom username will be displayed on screen and will be visible to other participants in the meeting. You will be able to type any question you would like answered using the Zoom Group Chat, If you would like to talk directly with the speaker you can also use the raise hand button on Zoom. The member of staff hosting the Q&A will be able to see your hand and give you your turn during the session.

If you would like to leave the meeting at any point, please press the ‘Leave meeting’ button found in the bottom right hand of the screen. Once the Q&A has finished the host will do this for you which will automatically end the meeting. 

Recorded webinar content

CRNS@Webinar will also give you the opportunity to get access to a series of pre-recorded seminars including PDF materials which have kindly been made available by the invited speakers whom are contributing to this initiative. 

Recordings taken during the upcoming CRNS@Webinar events, will also be made available for revisiting and study, after the webinars are complete.

Please contact Dr Mario Gianni for further information about the research topics, speakers and material.

CRNS@Webinar events

29 Sept 2020 - Radiation Risk modelling and gender bias in spaceflight - 13:00-14:00

This webinar has now past, you can view the recording here

Webinar delivered by: Anna Fogtman -  Space Medicine Team, European Astronaut Centre, European Space Agency, Cologne, Germany

6 Oct 2020 - Semantic Mapping - 13:00 - 14:00

This webinar has now past, you can view the recording here

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 ob- servations. Semantic mapping is the process that builds such a representation. Despite being fundamental to enable cognition and high-level reasoning in robotics, semantic mapping is a challenging task due to generalization to different scenarios and sensory data types. In fact, most techniques do not obtain a rich and accurate semantic map of the environment and of the objects therein. Moreover, to date there are no frameworks that allow for a comparison of the performance in building semantic maps for a given environment. In the talk, after a general introduction on semantic mapping, we shall illustrate our work on semantic mapping, focussing in particular on a novel framework based on the Gazebo simulator, where we introduce two key novelties: (1) a methodology for a systematic evaluation of semantic mapping; (2) a new family of approaches to semantic mapping that exploit both active vision and domain knowledge, to improve the performance of the system with respect to state-of- the-art approaches.

7 Oct 2020 - Automated Technologies for Systematic Review - 13:00-14:00

This webinar is now past, you can view the recording here

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

Lecture slides available here

14 Oct 2020 - Systematic reviews: how we use them in health care research and how they can be used in other disciplines - 13:00-14:00

This webinar has now past, you can view the recording here

Mona Nasser -  Associate Professor of Evidence Based Dentistry

See the lecture slides

20 Oct 2020 - Overiew of the work in Amatrice during the earthquake - 13:00-14:00

This webinar is now past, you can view the recording here

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

On Thursday September 1 2016 a team of the TRADR project deployed two ground robots and three drones in Amatrice, Italy, to assist the post-earthquake response. The team was asked by the Italian Vigili del Fuoco (VVFF) to provide 3D textured models of two churches: San Francesco and Sant’Agostino, both in a state of partial collapse, in need of shoring to prevent potential further destruction and to preserve the national heritage. This talk will give a summary of the mission and lessons learned. 

The lecture is also based on my work done in the EU FP7 projects NIFTi (Natural Human-Robot Cooperation in Dynamic Environments; Jan 2010 - Dec 2013) and TRADR (Long-Term Human-Robot Teaming for Robot-Assisted Disaster Response; Nov 2013 - Dec 2017), as well as the A-DRZ project funded by the German BMBF (Aufbau des Deutschen Rettungsrobotik Zentrums; Nov 2018 - Oct 2022).

View a video showing drones building 3D models of disaster scenarios

21 Oct 2020 - Natural Language Processing and Teamwork Support for Robot-Assisted Disaster Response - 13:00-14:00

This webinar is now past, you can view the recording here

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. I will present our work which addresses the question how such understanding can be facilitated by interpreting the verbal communication among the human team members and grounding it in mission process models. I will describe the components of our mission management-support system based on verbal team communication understanding.

28 Oct 2020 - Smart Wearable Robotic Teleoperated Surgery - 13:00-14:00

This webinar is now past, you can view the recording here

Hang Su -  Research Fellow, Department of Electronics, Information and Bioengineering (DEIB) of Politecnico Di Milano. Italy

4 Nov 2020 - SLAM: A bit of History - 13:00 - 14:00

This webinar is now past, you can view the recording here

Giorgio Grisetti - Associate Professor, Department of Computer, Control and Management Engineering "A. Ruberti". Sapienza University of Rome, Italy.

11 Nov 2020 - Secrets of seeing the dynamic world - from visual motion perception to biorobots - 13:00-14:00

This webinar is now past, you can view the recording here

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, I 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.

17 Nov 2020 - How Behavior Trees create Deliberative and Reactive Robot Control Systems - 1300-14:00

Join the Zoom event
Meeting ID: 964 3565 9228
Passcode: 279902

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

25 Nov 2020 - Robotic skill learning and development in personal assistance applications - 13:00-14:00

Join the Zoom event
Meeting ID: 954 6650 2043
Passcode: 640851

Panagiotis Papadakis -  Maître de conférences, IMT Atlantique, France

1 Dec 2020 - Robots go deep: A System Overview of the DARPA Sub-T - 13:00-14:00

Join the Zoom event
Meeting ID: 971 0974 7007
Passcode: 399851

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

Further details of the DARPA Sub-T 

2 Dec 2020 - Emotional body language synthesis for humanoid robots - 13:00-14:00

Join the Zoom event
Meeting ID: 934 4504 7126
Passcode: 034107

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

8 Dec 2020 - Haptic Communication in Shared Control of Human-Robot Interactive Systems - 13:00-14:00

Join the Zoom event
Meeting ID: 965 3622 6741
Passcode: 994392

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

9 Dec 2020 - Robotics Solutions to Strawberry Harvesting and In-Field Logistics - 13:00-14:00

Join the Zoom event
Meeting ID: 953 7484 5023
Passcode: 074608

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

15 Dec 2020 - Human-AI teaming - 13:00 - 14:00

Join the Zoom event
Meeting ID: 938 6186 6554
Passcode: 119382

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