3 citations · 6 across the 5 of their papers we have counts for
5 papers
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,…
Interactive Learning of Physical Object Properties Through Robot Manipulation and Database of Object Measurements
Andrej Kruzliak, Jiri Hartvich, Shubhan P. Patni +6
This work presents a framework for automatically extracting physical object properties, such as material composition, mass, volume, and stiffness, through robot manipulation and a…
CoBOS: Constraint-Based Online Scheduler for Human-Robot Collaboration
Marina Ionova, Jan Kristof Behrens
Assembly processes involving humans and robots are challenging scenarios because the individual activities and access to shared workspace have to be coordinated. Fixed robot progra…
Visually Guided Model Predictive Robot Control via 6D Object Pose Localization and Tracking
Mederic Fourmy, Vojtech Priban, Jan Kristof Behrens +3
The objective of this work is to enable manipulation tasks with respect to the 6D pose of a dynamically moving object using a camera mounted on a robot. Examples include maintainin…