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Approximate local reflection symmetry of projected land cadastre data
Ivana Kolingerová, Ondřej Anděl, Eliška Mourycová, Pavel Slavík, Lukáš Hruda, David Podgorelec, Borut Žalik, Ivo Malý, Martin Maňák, 2025, izvirni znanstveni članek

Opis: Symmetry is an essential feature of many geometric objects. However, the world also contains many asymmetrical or approximately symmetrical objects. Detecting approximate symmetries is a rather weakly defined problem, as computer-detected approximate symmetry may not correspond to human opinion. The situation is even worse if the symmetry is not global but local. This paper investigates whether approximate local reflection symmetries found by a computer in real data are acceptable for human observers. To answer this question, a new simple approximate local reflection symmetry detection is proposed and run on land cadastre data in the form of planar point sets. The resulting symmetries are subject to user tests to study human acceptance of approximate local symmetry. The results show a relatively good correlation between symmetry detected by computers and perceived by humans. This finding provides a solid foundation for integrating both approaches in specific applications. To achieve this, further research is needed on how to utilize specific aspects of human symmetry perception in computer solutions, so that computer symmetry detection can better approximate human perception.
Ključne besede: symmetry, geodata, computer graphics, human perception
Objavljeno v DKUM: 09.12.2025; Ogledov: 0; Prenosov: 1
Celotno besedilo (2,36 MB)

Audio-visual effects of a collaborative robot on worker efficiency
Aljaž Javernik, Klemen Kovič, Iztok Palčič, Robert Ojsteršek, 2023, izvirni znanstveni članek

Opis: Collaborative workplaces are increasingly used in production systems. The possibility of direct collaboration between robots and humans brings many advantages, as it allows the simultaneous use of human and robotic strengths. However, collaboration between a collaborative robot and a human raises concerns about the safety of the interaction, the impact of the robot on human health, human efficiency, etc. Additionally, research is unexplored in the field of the collaborative robot’s audio-visual effects on the worker’s efficiency. Our study results contribute to the field of studying collaborative robots’ audio-visual effects on the worker’s behavior. In this research, we analyze the effect of the changing motion parameters of the collaborative robot (speed and acceleration) on the efficiency of the worker and, consequently, on the production process. Based on the experimental results, we were able to confirm the impact of robot speed and acceleration on the worker’s efficiency in terms of assembly time. We also concluded that the sound level and presence of a visual barrier between the worker and robot by themselves have no effect on the worker’s efficiency. The experimental part of the paper clearly identifies the impact of visualization on work efficiency. According to the results, the robot’s audio-visual effects play a key role in achieving high efficiency and, consequently, justifying the implementation of a collaborative workplace.
Ključne besede: collaborative robot, worker efficiency, motion parameters, visual contact, sound, human-robot symmetry, repeated measures ANOVA
Objavljeno v DKUM: 11.12.2023; Ogledov: 332; Prenosov: 46
Celotno besedilo (2,86 MB)
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