68 citations · 179 across the 19 of their papers we have counts for
3 papers · 1 filter
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…
SymFormer: End-to-end symbolic regression using transformer-based architecture
Martin Vastl, Jonáš Kulhánek, Jiří Kubalík +2
Many real-world problems can be naturally described by mathematical formulas. The task of finding formulas from a set of observed inputs and outputs is called symbolic regression.…
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics
N. Passalis, S. Pedrazzi, R. Babuska +15
Existing Deep Learning (DL) frameworks typically do not provide ready-to-use solutions for robotics, where very specific learning, reasoning, and embodiment problems exist. Their r…