6 citations · 7 across the 4 of their papers we have counts for
4 papers
PRAG: Procedural Action Generator
Michal Vavrecka, Radoslav Skoviera, Gabriela Sejnova +1
We present a novel approach for the procedural construction of multi-step contact-rich manipulation tasks in robotics. Our generator takes as input user-defined sets of atomic acti…
Tell and show: Combining multiple modalities to communicate manipulation tasks to a robot
Petr Vanc, Radoslav Skoviera, Karla Stepanova
As human-robot collaboration is becoming more widespread, there is a need for a more natural way of communicating with the robot. This includes combining data from several modaliti…
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators
Jiri Sedlar, Karla Stepanova, Radoslav Skoviera +5
This paper introduces a dataset for training and evaluating methods for 6D pose estimation of hand-held tools in task demonstrations captured by a standard RGB camera. Despite the…
Teaching robots to imitate a human with no on-teacher sensors. What are the key challenges?
Radoslav Skoviera, Karla Stepanova, Michael Tesar +5
In this paper, we consider the problem of learning object manipulation tasks from human demonstration using RGB or RGB-D cameras. We highlight the key challenges in capturing suffi…