Matías Mattamala

Matías Mattamala

University of Oxford

H-index: 8

Europe-United Kingdom

About Matías Mattamala

Matías Mattamala, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Robotics, Computer Vision, Navigation.

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

Exosense: A Vision-Centric Scene Understanding System For Safe Exoskeleton Navigation

Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System

SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection

Autonomous Forest Inventory with Legged Robots: System Design and Field Deployment

Evaluation and Deployment of LiDAR-based Place Recognition in Dense Forests

Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data Collected by Mobile Robots

Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision

Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End

Matías Mattamala Information

University

Position

DPhil student Oxford Robotics Institute

Citations(all)

270

Citations(since 2020)

256

Cited By

45

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

7

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Matías Mattamala Skills & Research Interests

Robotics

Computer Vision

Navigation

Top articles of Matías Mattamala

Title

Journal

Author(s)

Publication Date

Exosense: A Vision-Centric Scene Understanding System For Safe Exoskeleton Navigation

arXiv preprint arXiv:2403.14320

Jianeng Wang

Matias Mattamala

Christina Kassab

Lintong Zhang

Maurice Fallon

2024/3/21

Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System

arXiv preprint arXiv:2403.17622

Leonard Freißmuth

Matias Mattamala

Nived Chebrolu

Simon Schaefer

Stefan Leutenegger

...

2024/3/26

SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection

arXiv preprint arXiv:2403.06877

Yifu Tao

Yash Bhalgat

Lanke Frank Tarimo Fu

Matias Mattamala

Nived Chebrolu

...

2024/3/11

Autonomous Forest Inventory with Legged Robots: System Design and Field Deployment

arXiv preprint arXiv:2404.14157

Matías Mattamala

Nived Chebrolu

Benoit Casseau

Leonard Freißmuth

Jonas Frey

...

2024/4/22

Evaluation and Deployment of LiDAR-based Place Recognition in Dense Forests

arXiv preprint arXiv:2403.14326

Haedam Oh

Nived Chebrolu

Matias Mattamala

Leonard Freißmuth

Maurice Fallon

2024/3/21

Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data Collected by Mobile Robots

MVR Malladi

T Guadagnino

L Lobefaro

M Mattamala

H Griess

...

2024

Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision

arXiv preprint arXiv:2404.07110

Matías Mattamala

Jonas Frey

Piotr Libera

Nived Chebrolu

Georg Martius

...

2024/4/10

Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End

arXiv preprint arXiv:2310.03581

Jin Jin

Chong Zhang

Jonas Frey

Nikita Rudin

Matias Mattamala

...

2023/10/5

Language-EXtended Indoor SLAM (LEXIS): A Versatile System for Real-time Visual Scene Understanding

arXiv preprint arXiv:2309.15065

Christina Kassab

Matias Mattamala

Lintong Zhang

Maurice Fallon

2023/9/26

MEM: Multi-Modal Elevation Mapping for Robotics and Learning

Gian Erni

Jonas Frey

Takahiro Miki

Matias Mattamala

Marco Hutter

2023/10/1

Fast Traversability Estimation for Wild Visual Navigation

arXiv preprint arXiv:2305.08510

Jonas Frey

Matias Mattamala

Nived Chebrolu

Cesar Cadena

Maurice Fallon

...

2023/5/15

Vision-based legged robot navigation: localisation, local planning, learning

M Mattamala Aravena

2023

Team cerberus wins the darpa subterranean challenge: Technical overview and lessons learned

Marco Tranzatto

Mihir Dharmadhikari

Lukas Bernreiter

Marco Camurri

Shehryar Khattak

...

2022/7/11

Aeros: Adaptive robust least-squares for graph-based slam

Frontiers in Robotics and AI

Milad Ramezani

Matias Mattamala

Maurice Fallon

2022/4/1

Strategies for large scale elastic and semantic LiDAR reconstruction

Robotics and Autonomous Systems

Yiduo Wang

Milad Ramezani

Matias Mattamala

Sundara Tejaswi Digumarti

Maurice Fallon

2022/9/1

An efficient locally reactive controller for safe navigation in visual teach and repeat missions

IEEE Robotics and Automation Letters

Matias Mattamala

Nived Chebrolu

Maurice Fallon

2022/1/14

Scalable and elastic lidar reconstruction in complex environments through spatial analysis

Yiduo Wang

Milad Ramezani

Matias Mattamala

Maurice Fallon

2021/8/31

Learning camera performance models for active multi-camera visual teach and repeat

Matias Mattamala

Milad Ramezani

Marco Camurri

Maurice Fallon

2021

The newer college dataset: Handheld lidar, inertial and vision with ground truth

arXiv

Milad Ramezani

Yiduo Wang

Marco Camurri

David Wisth

Matias Mattamala

...

2020

Adaptive manipulator control using active inference with precision learning

UKRAS20 Conference:” Robots into the real world” Proceedings, Lincoln, United Kingdom

Mohamed Baioumy

Matias Mattamala

Paul Duckworth

Bruno Lacerda

Nick Hawes

2020/5/6

See List of Professors in Matías Mattamala University(University of Oxford)

Co-Authors

H-index: 37
Maurice Fallon

Maurice Fallon

University of Oxford

H-index: 36
Javier Ruiz-del-Solar

Javier Ruiz-del-Solar

Universidad de Chile

H-index: 33
Nick Hawes

Nick Hawes

University of Oxford

H-index: 18
Marco Camurri

Marco Camurri

University of Oxford

H-index: 17
Bruno Lacerda

Bruno Lacerda

University of Oxford

H-index: 15
Nived Chebrolu

Nived Chebrolu

Rheinische Friedrich-Wilhelms-Universität Bonn

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