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Radoslav Skoviera

7 accepted papers

2023

Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators

RA-L 2023

This letter 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 significant progress of 6D pose estimation methods, their performance is usually limited for heavily occluded objects,

Cited by 7SourcecodeScholar
2022

SurfMan: Generating Smooth End-Effector Trajectories on 3D Object Surfaces for Human-Demonstrated Pattern Sequence

RA-L 2022

Specifying robot tasks for low-volume manufacturing scenarios is an open problem. The state-of-the-art robotic systems enable the application of smooth 2 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">D</i> paths to a 3 <italic xmlns:mml="http://www

Cited by 0SourceScholar
2019

Exploring logical consistency and viewport sensitivity in compositional VQA models

IROS 2019poster

The most recent architectures for Visual Question Answering (VQA), such as TbD or DDRprog, have already outperformed human-level accuracy on benchmark datasets (e.g. CLEVR). We administered an advanced analysis of their performance based on novel metrics called consistency (sum of all object feature…

Cited by 2SourceScholar
2019

Specifying Dual-Arm Robot Planning Problems Through Natural Language and Demonstration

RA-L 2019

Multi-modal robot programming with natural language and demonstration is a promising technique for efficient teaching of manipulation tasks in industrial environments. In particular, with modern dual-arm robots designed to quickly take over tasks at typical industrial workbenches, the direct teachin

Cited by 15SourceScholar