8 citations · 13 across the 7 of their papers we have counts for
6 papers · 1 filter
How Should We Teach Robots? A Comparison of Kinesthetic, Joystick, and Gesture-Based Teaching
Petr Vanc, Jan Kristof Behrens, Václav Hlaváč +1
Instructing robots from demonstrations can be done through different teaching modalities, each with different usability and performance trade-offs. This paper compares kinesthetic…
See and Switch: Vision-Based Branching for Interactive Robot-Skill Programming
Petr Vanc, Jan Kristof Behrens, Václav Hlaváč +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,…
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…
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…
Communicating human intent to a robotic companion by multi-type gesture sentences
Petr Vanc, Jan Kristof Behrens, Karla Stepanova +1
Human-Robot collaboration in home and industrial workspaces is on the rise. However, the communication between robots and humans is a bottleneck. Although people use a combination…
Context-aware robot control using gesture episodes
Petr Vanc, Jan Kristof Behrens, Karla Stepanova
Collaborative robots became a popular tool for increasing productivity in partly automated manufacturing plants. Intuitive robot teaching methods are required to quickly and flexib…