lunduniversity.lu.se

Automatic Control

Faculty of Engineering, LTH

Automatic Control  

Distinguished Paper Award

We congratulate Claudio Mandrioli who won the ACM Distinguished Paper Award at ESEC/FSE 2020 for the paper "Testing Self-Adaptive Software with Probabilistic Guarantees on Performance Metrics"

Paper Award

We congratulate Marcus Greiff (to the right in the photo) and co-authors Anders Robertsson (left) and Karl Berntorp (middle) who was awarded the 2020 IEEE CCTA Best Student Paper Award for the paper "MSE-Optimal Measurement Dimension Reduction in Gaussian Filtering”.

 

AI Lund lunch seminar: Artificial Intelligence and Robotics

AI and Robotics  - word cloud

Seminarium

From: 2020-11-25 12:00
Place: Online - link by registration
Contact: Jonas [dot] Wisbrant [at] cs [dot] lth [dot] se
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Title: AI Lund lunch seminar: Artificial Intelligence and Robotics

Speaker: Professor Jacek Malec, Department of Computer Science

When: 25 November 12.00 - 13.00

Location: Online - link by registration

Abstract: In close interaction with industry, locally and globally, research in the productive robotics lab at LTH, Lund University is performed in a multitude of areas and disciplines.  As part of the European Robotics Week the robotics lab arranges online presentations for primary and secondary school students. However, during this lunch seminar we invite anyone from industry, the public sector or other parts of Lund University.

During the presentation we introduce the robot lab, how it is organised and equipped with a focus on the intersection between robotics and artificial intelligence. Thereafter we show examples of various kinds of robots, research challenges and solutions.

Please register at: http://ai.lu.se/events/registration-2020-11-25/ in order to get an access link to the zoom platform.



Recent Publications

Welcome to KC4!

In May, we moved to temporary offices at KC4 in Kemicentrum. Here we will stay for two years while the M-building is being renovated. See "contact" (in About) for the new visiting adress.

Formula Student

The department has a collaboration with the Lund Formula Student team, who are developing a fully autonomous race car to compete in Formula Student events all across Europe. They are always looking for interested and talented team members. If you are interested in a wide variety of technologies such as neural networks, control theory, ROS, etc, please visit their website or contact them at: technical.driverless@lundformulastudent.se.