4 papers
See and Switch: Vision-Based Branching for Interactive Robot-Skill Programming
Petr Vanc, Jan Kristof Behrens, Václav HlavÃ¡Ä +1
Programming by demonstration (PbD) makes robot programming accessible to non-experts, but scaling it to real-world variability remains a challenge for current teaching frameworks,…
How Should We Teach Robots? A Comparison of Kinesthetic, Joystick, and Gesture-Based Teaching
Petr Vanc, Jan Kristof Behrens, Václav HlavÃ¡Ä +1
Instructing robots from demonstrations can be done through different teaching modalities, each with different usability and performance trade-offs. This paper compares kinesthetic…
ILeSiA: Interactive Learning of Robot Situational Awareness from Camera Input
Petr Vanc, Giovanni Franzese, Jan Kristof Behrens +4
Learning from demonstration is a promising approach for teaching robots new skills. However, a central challenge in the execution of acquired skills is the ability to recognize fau…
TransforMerger: Transformer-based Voice-Gesture Fusion for Robust Human-Robot Communication
Petr Vanc, Karla Stepanova
As human-robot collaboration advances, natural and flexible communication methods are essential for effective robot control. Traditional methods relying on a single modality or rig…