Niko Suenderhauf

Niko Suenderhauf

Queensland University of Technology

H-index: 42

Oceania-Australia

About Niko Suenderhauf

Niko Suenderhauf, With an exceptional h-index of 42 and a recent h-index of 35 (since 2020), a distinguished researcher at Queensland University of Technology, specializes in the field of Robotic Vision, Machine Learning, SLAM, Scene Understanding.

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

Open-Set Recognition in the Age of Vision-Language Models

Inherently privacy-preserving vision for trustworthy autonomous systems: Needs and solutions

Particlenerf: A particle-based encoding for online neural radiance fields

Human-in-the-Loop Segmentation of Multi-species Coral Imagery

The Need for Inherently Privacy-Preserving Vision in Trustworthy Autonomous Systems

RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation

Addressing the Challenges of Open-World Object Detection

Open x-embodiment: Robotic learning datasets and RT-x models

Niko Suenderhauf Information

University

Position

Associate Professor at Australian Centre for Robotic Vision

Citations(all)

10739

Citations(since 2020)

7912

Cited By

5680

hIndex(all)

42

hIndex(since 2020)

35

i10Index(all)

83

i10Index(since 2020)

74

Email

University Profile Page

Queensland University of Technology

Google Scholar

View Google Scholar Profile

Niko Suenderhauf Skills & Research Interests

Robotic Vision

Machine Learning

SLAM

Scene Understanding

Top articles of Niko Suenderhauf

Title

Journal

Author(s)

Publication Date

Open-Set Recognition in the Age of Vision-Language Models

arXiv preprint arXiv:2403.16528

Dimity Miller

Niko Sünderhauf

Alex Kenna

Keita Mason

2024/3/25

Inherently privacy-preserving vision for trustworthy autonomous systems: Needs and solutions

Journal of Responsible Technology

Adam K Taras

Niko Suenderhauf

Peter Corke

Donald G Dansereau

2024/2/27

Particlenerf: A particle-based encoding for online neural radiance fields

Jad Abou-Chakra

Feras Dayoub

Niko Sünderhauf

2024

Human-in-the-Loop Segmentation of Multi-species Coral Imagery

arXiv preprint arXiv:2404.09406

Scarlett Raine

Ross Marchant

Brano Kusy

Frederic Maire

Niko Suenderhauf

...

2024/4/15

The Need for Inherently Privacy-Preserving Vision in Trustworthy Autonomous Systems

arXiv preprint arXiv:2303.16408

Adam K Taras

Niko Suenderhauf

Peter Corke

Donald G Dansereau

2023/3/29

RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation

Sourav Garg

Krishan Rana

Mehdi Hosseinzadeh

Lachlan Mares

Niko Suenderhauf

...

2024/1/31

Addressing the Challenges of Open-World Object Detection

arXiv preprint arXiv:2303.14930

David Pershouse

Feras Dayoub

Dimity Miller

Niko Sünderhauf

2023/3/27

Open x-embodiment: Robotic learning datasets and RT-x models

arXiv preprint arXiv:2310.08864

Abhishek Padalkar

Acorn Pooley

Ajinkya Jain

Alex Bewley

Alex Herzog

...

2023/10/13

Bayesian controller fusion: Leveraging control priors in deep reinforcement learning for robotics

The International Journal of Robotics Research

Krishan Rana

Vibhavari Dasagi

Jesse Haviland

Ben Talbot

Michael Milford

...

2023/3

Sayplan: Grounding large language models using 3d scene graphs for scalable robot task planning

Krishan Rana

Jesse Haviland

Sourav Garg

Jad Abou-Chakra

Ian Reid

...

2023/8/30

SAFE: Sensitivity-aware features for out-of-distribution object detection

Samuel Wilson

Tobias Fischer

Feras Dayoub

Dimity Miller

Niko Sünderhauf

2023

Contrastive language, action, and state pre-training for robot learning

arXiv preprint arXiv:2304.10782

Krishan Rana

Andrew Melnik

Niko Sünderhauf

2023/4/21

LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments

arXiv preprint arXiv:2312.12036

Federico Ceola

Lorenzo Natale

Niko Sünderhauf

Krishan Rana

2023/12/19

Hyperdimensional feature fusion for out-of-distribution detection

Samuel Wilson

Tobias Fischer

Niko Sünderhauf

Feras Dayoub

2023

Switchable Constraints for Robust Simultaneous Localization and Mapping and Satellite-Based Localization

Niko Sünderhauf

2023/4/7

Physically Embodied Gaussian Splatting: Embedding Physical Priors into a Visual 3D World Model For Robotics

Conference on Robot Learning

Jad Abou-Chakra

Krishan Rana

Feras Dayoub

Niko Sünderhauf

2023/11/6

Implicit object mapping with noisy data

arXiv preprint arXiv:2204.10516

Jad Abou-Chakra

Feras Dayoub

Niko Sünderhauf

2022/4/22

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics

Krishan Rana

Ming Xu

Brendan Tidd

Michael Milford

Niko Sünderhauf

2023/3/6

BenchBot environments for active robotics (BEAR): Simulated data for active scene understanding research

The International Journal of Robotics Research

David Hall

Ben Talbot

Suman Raj Bista

Haoyang Zhang

Rohan Smith

...

2022/3

Forest Traversability Mapping (FTM): Traversability estimation using 3D voxel-based Normal Distributed Transform to enable forest navigation

Fabio Ruetz

Paulo Borges

Niko Suenderhauf

Emili Hernández

Thierry Peynot

2022/10/23

See List of Professors in Niko Suenderhauf University(Queensland University of Technology)

Co-Authors

H-index: 86
Peter Corke

Peter Corke

Queensland University of Technology

H-index: 51
Stephen Gould

Stephen Gould

Australian National University

H-index: 30
Peter Protzel

Peter Protzel

Technische Universität Chemnitz

H-index: 27
Feras Dayoub

Feras Dayoub

Queensland University of Technology

H-index: 21
Peer Neubert

Peer Neubert

Technische Universität Chemnitz

H-index: 20
Sourav Garg

Sourav Garg

Queensland University of Technology

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