30 citations · 31 across the 2 of their papers we have counts for
3 papers
cs.RO2020
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning
Jonáš Kulhánek, Erik Derner, Robert Babuška
Visual navigation is essential for many applications in robotics, from manipulation, through mobile robotics to automated driving. Deep reinforcement learning (DRL) provides an ele…
cs.LG2020★ 30 cited
Symbolic Regression Driven by Training Data and Prior Knowledge
J. Kubalík, E. Derner, R. Babuška
In symbolic regression, the search for analytic models is typically driven purely by the prediction error observed on the training data samples. However, when the data samples do n…
cs.HC2019★ 1 cited
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…