10 citations · 17 across the 8 of their papers we have counts for
8 papers
Design and Human Evaluation of Tactile Withdrawal Reflexes for a Skin-Covered Robot Arm
Laura Babayeva, Lukas Rustler, Matej Hoffmann
Nociception is a protective biological mechanism that links harmful stimulation to a reaction. This paper investigates artificial nociception for a robotic arm with whole-body tact…
Simulating Infant First-Person Sensorimotor Experience via Motion Retargeting from Babies to Humanoids
Francisco M. López, Hoshinori Kanazawa, Ondrej Fiala +8
Motion retargeting from humans to human-like artificial agents is becoming increasingly important as humanoid robots grow more capable. However, most existing approaches focus only…
No Need to Look! Locating and Grasping Objects by a Robot Arm Covered with Sensitive Skin
Karel Bartunek, Lukas Rustler, Matej Hoffmann
Locating and grasping of objects by robots is typically performed using visual sensors. Haptic feedback from contacts with the environment is only secondary if present at all. In t…
Learning with pyCub: A Simulation and Exercise Framework for Humanoid Robotics
Lukas Rustler, Matej Hoffmann
We present pyCub, an open-source physics-based simulation of the humanoid robot iCub, along with exercises to teach students the basics of humanoid robotics. Compared to existing i…
Empirical Comparison of Four Stereoscopic Depth Sensing Cameras for Robotics Applications
Lukas Rustler, Vojtech Volprecht, Matej Hoffmann
Depth sensing is an essential technology in robotics and many other fields. Many depth sensing (or RGB-D) cameras are available on the market and selecting the best one for your ap…
Adaptive Collision Sensitivity for Efficient and Safe Human-Robot Collaboration
Lukas Rustler, Matej Misar, Matej Hoffmann
What is considered safe for a robot operator during physical human-robot collaboration (HRC) is specified in corresponding HRC standards (e.g., ISO 10218-2:2025). The regime that a…
Adaptive Electronic Skin Sensitivity for Safe Human-Robot Interaction
Lukas Rustler, Matej Misar, Matej Hoffmann
Artificial electronic skins covering complete robot bodies can make physical human-robot collaboration safe and hence possible. Standards for collaborative robots (e.g., ISO/TS 150…
Automatic infant 2D pose estimation from videos: comparing seven deep neural network methods
Filipe Gama, Matej Misar, Lukas Navara +2
Automatic markerless estimation of infant posture and motion from ordinary videos carries great potential for movement studies "in the wild", facilitating understanding of motor de…