Robert Babuska

Robert Babuska

Technische Universiteit Delft

H-index: 71

Europe-Netherlands

About Robert Babuska

Robert Babuska, With an exceptional h-index of 71 and a recent h-index of 40 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of Reinforcement learning, Deep learning, Computational Intelligence, Robotics, Systems and Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

Symformer: End-to-end symbolic regression using transformer-based architecture

A Vision-Guided Robotic System for Grasping Harvested Tomato Trusses in Cluttered Environments

Toward physically plausible data-driven models: A novel neural network approach to symbolic regression

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

Learning 3D shape proprioception for continuum soft robots with multiple magnetic sensors

A security risk taxonomy for large language models

ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers

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

Robert Babuska Information

University

Position

Professor Czech Technical University Prague

Citations(all)

26176

Citations(since 2020)

10115

Cited By

19998

hIndex(all)

71

hIndex(since 2020)

40

i10Index(all)

290

i10Index(since 2020)

139

Email

University Profile Page

Technische Universiteit Delft

Google Scholar

View Google Scholar Profile

Robert Babuska Skills & Research Interests

Reinforcement learning

Deep learning

Computational Intelligence

Robotics

Systems and Control

Top articles of Robert Babuska

Title

Journal

Author(s)

Publication Date

Symformer: End-to-end symbolic regression using transformer-based architecture

IEEE Access

Martin Vastl

Jonáš Kulhánek

Jiří Kubalík

Erik Derner

Robert Babuška

2024/3/7

A Vision-Guided Robotic System for Grasping Harvested Tomato Trusses in Cluttered Environments

arXiv preprint arXiv:2309.17170

Luuk van den Bent

Tomas Coleman

Robert Babuška

2023/9

Toward physically plausible data-driven models: A novel neural network approach to symbolic regression

IEEE Access

Jiří Kubalík

Erik Derner

Robert Babuška

2023/6/19

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

IEEE Robotics and Automation Letters

Jiri Sedlar

Karla Stepanova

Radoslav Skoviera

Jan K Behrens

Matus Tuna

...

2023/3/20

Learning 3D shape proprioception for continuum soft robots with multiple magnetic sensors

Soft Matter

Thomas Baaij

Marn Klein Holkenborg

Maximilian Stölzle

Daan van der Tuin

Jonatan Naaktgeboren

...

2023

A security risk taxonomy for large language models

arXiv preprint arXiv:2311.11415

Erik Derner

Kristina Batistič

Jan Zahálka

Robert Babuška

2023/11/19

ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers

Jonáš Kulhánek

Erik Derner

Torsten Sattler

Robert Babuška

2022

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

J Sedlar

K Stepanova

M Tuna

R Skoviera

J Behrens

...

2022

Learning assembly tasks in a few minutes by combining impedance control and residual recurrent reinforcement learning

Advanced Intelligent Systems

Padmaja Kulkarni

Jens Kober

Robert Babuška

Cosimo Della Santina

2022/1

Opendr: An open toolkit for enabling high performance, low footprint deep learning for robotics

Nikolaos Passalis

Stefania Pedrazzi

Robert Babuska

Wolfram Burgard

Daniel Dias

...

2022/10/23

Where to look next: Learning viewpoint recommendations for informative trajectory planning

Max Lodel

Bruno Brito

Alvaro Serra-Gómez

Laura Ferranti

Robert Babuška

...

2022/5/23

Tactile-based Self-supervised Pose Estimation for Robust Grasping

Padmaja Kulkarni

Jens Kober

Robert Babuska

2021

Geometry-based grasping of vine tomatoes

arXiv preprint arXiv:2103.01272

Taeke de Haan

Padmaja Kulkarni

Robert Babuska

2021/3/1

Supporting Information for" Learning Assembly Tasks in a Few Minutes by Combining Impedance Control and Residual Recurrent Reinforcement Learning"

Authorea Preprints

Padmaja Kulkarni

Jens Kober

Robert Babuska

Cosimo Della Santina

2021/10/18

Change detection using weighted features for image-based localization

Robotics and Autonomous Systems

Erik Derner

Clara Gomez

Alejandra C Hernandez

Ramon Barber

Robert Babuška

2021/1/1

Selecting informative data samples for model learning through symbolic regression

IEEE Access

Erik Derner

Jiří Kubalík

Robert Babuška

2021/1/18

Guiding Robot Model Construction with Prior Features

Erik Derner

Jiří Kubalík

Robert Babuška

2021/9/27

Symbolic Regression Methods for Reinforcement Learning

IEEE Access

Jiří Kubalík

Erik Derner

Jan Žegklitz

Robert Babuška

2021

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021 OnLine): Preface

Philipp Mittendorfer

Gordon Cheng

2012

DeepKoCo: Efficient latent planning with a task-relevant Koopman representation

Bas van der Heijden

Laura Ferranti

Jens Kober

Robert Babuška

2021/9/27

See List of Professors in Robert Babuska University(Technische Universiteit Delft)

Co-Authors

H-index: 77
Bart De Schutter

Bart De Schutter

Technische Universiteit Delft

H-index: 62
Michel Verhaegen

Michel Verhaegen

Technische Universiteit Delft

H-index: 47
Damien Ernst

Damien Ernst

Université de Liège

H-index: 45
Uzay Kaymak

Uzay Kaymak

Technische Universiteit Eindhoven

H-index: 43
Janos Abonyi

Janos Abonyi

Pannon Egyetem

H-index: 35
Alfredo Núñez Vicencio

Alfredo Núñez Vicencio

Technische Universiteit Delft

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