most citedMulti-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images

16 citations · 42 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2019

Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image using CNN

Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad +3

Collaborative robots are becoming more common on factory floors as well as regular environments, however, their safety still is not a fully solved issue. Collision detection does n…

cs.RO2018★ 12 cited

Transfer Learning for Unseen Robot Detection and Joint Estimation on a Multi-Objective Convolutional Neural Network

Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad +3

A significant problem of using deep learning techniques is the limited amount of data available for training. There are some datasets available for the popular problems like item r…

cs.RO2018★ 16 cited

Multi-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images

Justinas Miseikis, Inka Brijacak, Saeed Yahyanejad +3

The field of collaborative robotics and human-robot interaction often focuses on the prediction of human behaviour, while assuming the information about the robot setup and configu…

cs.RO2018★ 14 cited

Robot Localisation and 3D Position Estimation Using a Free-Moving Camera and Cascaded Convolutional Neural Networks

Justinas Miseikis, Patrick Knobelreiter, Inka Brijacak +4

Many works in collaborative robotics and human-robot interaction focuses on identifying and predicting human behaviour while considering the information about the robot itself as g…