Touch Events Recognition on Smart Robotic Skin Sensor Using Deep Learning

On the 2-February-2023 at 11:00 a.m. the 19th lecture of the Living Lab lecture series will take place. In this talk, ScaDS.AI scientific researcher Adnan Haidar will talk about Touch Events Recognition on Touch Events Recognition on Smart Robotic Skin Sensor Using Deep Learning. Add this event to your calendar (iCal).

Touch Events Recognition on Smart Robotic Skin Sensor Using Deep Learning

With increased human-robot interactions (HRI), a safe and reliable collision detection framework has become an essential component for dynamic and unstructured environments. ‚Sense of Touch‘ in robots can play a fundamental role in enhancing the perceptual, cognitive, and operative capabilities of robots, specifically when they physically interact with objects and humans in the industrial environment. Many solutions for designing, engineering, and manufacturing tactile sensors have been presented, because the availability of appropriate sensing technologies is the first and necessary step, but effective use of the sense of touch in robots also depends on understanding the mechanisms of tactile perception through which the robot builds an appropriate world model. In this context, this lecture will present novel touch sensor technology for sensitive skin and research challenges to optimize novel touch sensors to classify force and location detection efficiently with a deep learning approach.

Living Lab Lecture Series

The Living Lab Lecture Series gives you an in-depth insight into the many research topics of ScaDS.AI Dresden/Leipzig. From Natural Language Processing to Ethics and Moral Code in AI, a great variety of topics are discussed. You can join our lectures every first thursday of the month or watch them on YouTube afterwards. If you have ideas for topics to discuss in the future, please let our Living Lab team know. We suggest for you to regularly check our event calendar, to never miss out on upcoming lectures or other interesting events organized by or in cooperation with our center.

FAQ

How can I participate in the lecture?

You can reach the permanent room for all lectures here: https://tud.link/i8zf 

When will the room become accessible to the audience?

The room will be accessible 5 minutes before the start of the lecture.

Who can participate in the Living Lab activities?

The participation is free for everyone.

Do I need to be familiar with topics such as Big Data and Artificial Intelligence to benefit from the lectures?

No! Not at all.

One of our goals in the Living Lab lecture series is to familiarize everyone with these topics.

Is there any technical requirements to participate in the lecture?

You just need an up-to-date browser such as Firefox, Google Chrome or Chromium.

We would also recommend using headphones for better audio quality.

Should I also turn on my camera/microphone during the lecture?

Not unless you would like to! In general, there is no need to have a camera or microphone to participate in the lecture.

In that case, how can I ask a question and provide feedback?

Alongside joining the discussion with your camera and microphone, there is also the possibility to submit your question and comments as a written comment in the Chat section.

How can I easily get informed about future activities of the Living Lab?

Follow us on Twitter: @Sca_DS

Follow us on LinkedIn: ScaDS.AI Dresden/Leipzig

Subscribe to our YouTube channel: https://www.youtube.com/channel/UCv7EDPwovn6T1iaMbhlpFjg

Subscribe to our mailing list: https://mailman.zih.tu-dresden.de/groups/listinfo/livinglab

Can I participate with my smartphone?

Dieses Bild hat ein leeres Alt-Attribut. Der Dateiname ist 4lectureseries-2.png

Find out more about our Living Lab Lecture Series!

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut