11 citations · 15 across the 8 of their papers we have counts for
8 papers
Self-Supervised Bio-Inspired Robotic Trajectory Planning with Obstacle Avoidance
Miroslav Krupa, Miroslav Cibula, Kristína Malinovská
Trajectory planning is a fundamental problem in robotics, requiring the generation of collision-free and efficient trajectories in a potentially complex environment. While sampling…
Toward an Interaction-Centered Approach to Robot Trustworthiness
Carlo Mazzola, Hassan Ali, Kristína Malinovská +1
As robots get more integrated into human environments, fostering trustworthiness in embodied robotic agents becomes paramount for an effective and safe human-robot interaction (HRI…
Examining the legibility of humanoid robot arm movements in a pointing task
Andrej Lúčny, Matilde Antonj, Carlo Mazzola +5
Human--robot interaction requires robots whose actions are legible, allowing humans to interpret, predict, and feel safe around them. This study investigates the legibility of huma…
Towards Bio-Inspired Robotic Trajectory Planning via Self-Supervised RNN
Miroslav Cibula, Kristína Malinovská, Matthias Kerzel
Trajectory planning in robotics is understood as generating a sequence of joint configurations that will lead a robotic agent, or its manipulator, from an initial state to the desi…
QuasiNet: a neural network with trainable product layers
Kristína Malinovská, Slavomír Holenda, Ľudovít Malinovský
Classical neural networks achieve only limited convergence in hard problems such as XOR or parity when the number of hidden neurons is small. With the motivation to improve the suc…
Robot at the Mirror: Learning to Imitate via Associating Self-supervised Models
Andrej Lucny, Kristina Malinovska, Igor Farkas
We introduce an approach to building a custom model from ready-made self-supervised models via their associating instead of training and fine-tuning. We demonstrate it with an exam…
Controlling the Output of a Generative Model by Latent Feature Vector Shifting
Róbert Belanec, Peter Lacko, Kristína Malinovská
State-of-the-art generative models (e.g. StyleGAN3 \cite{karras2021alias}) often generate photorealistic images based on vectors sampled from their latent space. However, the abili…
Gaze Cueing and the Role of Presence in Human-Robot Interaction
Kassandra Friebe, Kristina Malinovska, Sabina Samporova +1
Gaze cueing is a fundamental part of social interactions, and broadly studied using Posner task based gaze cueing paradigms. While studies using human stimuli consistently yield a…