Abstract--Obstacle detection is one of the basic tasks of a robot movement in an unknown environment. The use of a LiDAR (Light Detection And Ranging) sensor allows one to obtain a point cloud in the vicinity of the sensor. After processing this data, obstacles can be found and recorded on a map. For this task, I present a pipeline capable of detecting obstacles even on a computationally limited device. The pipeline was also tested on a real robot and qualitatively evaluated on a dataset, which was collected in Brno University of Technology lab. Time consumption was recorded and compared with 3D object detectors.

This volume comprises the Late-Breaking Abstracts accepted for the Evo* 2023 Conference, hosted in Brno (Czech Republic), from April 12th to 14th. These abstracts were featured in both short talks and the conference's poster session, offering insights into ongoing research and preliminary findings exploring the application of various Evolutionary Computation approaches and other Nature-Inspired techniques to real-world problems. These contributions represent promising developments, highlighting forthcoming advances and applications in the field of nature-inspired methods, particularly Evolutionary Algorithms.

Tiny robots packed with yeast speed up the fermentation of beer and eliminate the need to filter it before bottling. Using living yeast to convert sugar to alcohol is a key part of making beer, but it can be time consuming, and the yeast can spoil and ruin a whole batch of the drink. Martin Pumera at the Brno University of Technology in the Czech Republic and his colleagues thought that both issues could be addressed by swapping yeast for tiny, metallic yeast-filled bots.

Hangar 13 is looking for a AI Engineer who enjoys a collaborative and creative work environment and is looking to work directly with content creators to give them the power to create amazing experiences. Design, develop, implement, and debug AI systems in Unreal Engine for new Mafia title. Hangar 13 is an internal 2K development studio based in four locations: Brno & Prague (Czech Republic), Novato (California), and Brighton (UK), working collaboratively as one team. Each of our locations provides the opportunity to Bravely Create on big-budget, AAA console titles in a diverse and inclusive environment. At Hangar 13, we want people driven by curiosity -- Visionaries who aren't afraid to explore new territory.

In this paper, we present the system description of the joint efforts of Brno University of Technology (BUT) and Omilia -- Conversational Intelligence for the ASVSpoof2019 Spoofing and Countermeasures Challenge. The primary submission for Physical access (PA) is a fusion of two VGG networks, trained on single and two-channels features. For Logical access (LA), our primary system is a fusion of VGG and the recently introduced SincNet architecture. The results on PA show that the proposed networks yield very competitive performance in all conditions and achieved 86\:\% relative improvement compared to the official baseline. On the other hand, the results on LA showed that although the proposed architecture and training strategy performs very well on certain spoofing attacks, it fails to generalize to certain attacks that are unseen during training.

The City of Prague has announced it will compete to become one of Europe's centres of excellence in artificial intelligence (AI). The city's plan follows the European Commission's call for a European Network of AI Excellence Centres which the Commission will fund with €50 million in 2020. "We want to be the centre for AI but we know that we are not the only ones," Jaromír Beránek, Deputy of the Prague City Assembly and Head of the IT and Smart City Committee told Cities Today. "We want to compete with European and world cities like Montreal which is also very renowned for building AI technologies." Beránek said that although the push has been inspired by the Commission's call, the city was already looking for a specialised skill for Prague, noting that the neighbouring cities of Brno and Libež are world renowned in microscopy and nano technology.