Comenius University Bratislava

Examining the legibility of humanoid robot arm movements in a pointing task
How do humans understand what a robot is about to do? Paper of common UKBA and IIT team explores how gaze and pointing cues help people …
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Practical solutions to the relative pose of three calibrated cameras
We study the challenging problem of estimating the relative pose of three calibrated cameras from four point correspondences. We …
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Three-view Focal Length Recovery From Homographies
In this paper, we propose a novel approach for recovering focal lengths from three-view homographies. By examining the consistency of …
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Generating and Customizing Robotic Arm Trajectories using Neural Networks
Common work of UKBA and IIT introduces a novel neural network-based method to create precise, smooth, and customizable robotic arm …
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Are Minimal Radial Distortion Solvers Necessary for Relative Pose Estimation?
Estimating the relative pose between two cameras is a fundamental step in many applications such as Structure-from-Motion. The common …
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Learning Low-Level Causal Relations Using a Simulated Robotic Arm
Causal learning allows humans to predict the effect of their actions on the known environment and use this knowledge to plan the …
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Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation
Large Language Models (LLMs) have been recently used in robot applications for grounding LLM commonsense reasoning with the robot’s …
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Detection of Vascular Leukoencephalopathy in CT Images
Artificial intelligence (AI) has seen a significant surge in popularity, particularly in its application to medicine. This study …
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Robust Self-Calibration of Focal Lengths from the Fundamental Matrix
The problem of self-calibration of two cameras from a given fundamental matrix is one of the basic problems in geometric computer …
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A method for estimating roadway billboard salience
Roadside billboards and other forms of outdoor advertising play a crucial role in marketing initiatives; however, they can also …
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