Matthew Johnson-Roberson

Matthew Johnson-Roberson

University of Michigan

H-index: 37

North America-United States

About Matthew Johnson-Roberson

Matthew Johnson-Roberson, With an exceptional h-index of 37 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Robotics, Field Robotics, Autonomous Vehicles, Marine Robotics.

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

DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark

V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes

Customizable Perturbation Synthesis for Robust SLAM Benchmarking

Unifying Scene Representation and Hand-Eye Calibration with 3D Foundation Models

Diagrammatic Instructions to Specify Spatial Objectives and Constraints with Applications to Mobile Base Placement

Hyperspherical embedding for point cloud completion

Robust Energy-Optimal Control for 3-D Path-Following of Autonomous Underwater Vehicles Under Ocean Currents

Reasoning about the Unseen for Efficient Outdoor Object Navigation

Matthew Johnson-Roberson Information

University

Position

Associate Professor of Engineering

Citations(all)

5838

Citations(since 2020)

3944

Cited By

3356

hIndex(all)

37

hIndex(since 2020)

30

i10Index(all)

85

i10Index(since 2020)

68

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Matthew Johnson-Roberson Skills & Research Interests

Robotics

Field Robotics

Autonomous Vehicles

Marine Robotics

Top articles of Matthew Johnson-Roberson

Title

Journal

Author(s)

Publication Date

DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark

arXiv preprint arXiv:2403.10814

Tianyi Zhang

Kaining Huang

Weiming Zhi

Matthew Johnson-Roberson

2024/3/16

V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes

arXiv preprint arXiv:2403.08106

Herbert Wright

Weiming Zhi

Matthew Johnson-Roberson

Tucker Hermans

2024/3/12

Customizable Perturbation Synthesis for Robust SLAM Benchmarking

arXiv preprint arXiv:2402.08125

Xiaohao Xu

Tianyi Zhang

Sibo Wang

Xiang Li

Yongqi Chen

...

2024/2/12

Unifying Scene Representation and Hand-Eye Calibration with 3D Foundation Models

arXiv preprint arXiv:2404.11683

Weiming Zhi

Haozhan Tang

Tianyi Zhang

Matthew Johnson-Roberson

2024/4/17

Diagrammatic Instructions to Specify Spatial Objectives and Constraints with Applications to Mobile Base Placement

arXiv preprint arXiv:2403.12465

Qilin Sun

Weiming Zhi

Tianyi Zhang

Matthew Johnson-Roberson

2024/3/19

Hyperspherical embedding for point cloud completion

Junming Zhang

Haomeng Zhang

Ram Vasudevan

Matthew Johnson-Roberson

2023

Robust Energy-Optimal Control for 3-D Path-Following of Autonomous Underwater Vehicles Under Ocean Currents

IEEE Transactions on Control Systems Technology

Niankai Yang

Chao Shen

Ziyou Song

Matthew Johnson-Roberson

Jing Sun

2023/10/5

Reasoning about the Unseen for Efficient Outdoor Object Navigation

arXiv preprint arXiv:2309.10103

Quanting Xie

Tianyi Zhang

Kedi Xu

Matthew Johnson-Roberson

Yonatan Bisk

2023/9/18

Learning from demonstration via probabilistic diagrammatic teaching

arXiv preprint arXiv:2309.03835

Weiming Zhi

Tianyi Zhang

Matthew Johnson-Roberson

2023/9/7

Beyond NeRF Underwater: Learning neural reflectance fields for true color correction of marine imagery

IEEE Robotics and Automation Letters

Tianyi Zhang

Matthew Johnson-Roberson

2023/8/21

Toward general-purpose robots via foundation models: A survey and meta-analysis

arXiv preprint arXiv:2312.08782

Yafei Hu

Quanting Xie

Vidhi Jain

Jonathan Francis

Jay Patrikar

...

2023/12/14

CLONeR: Camera-Lidar Fusion for Occupancy Grid-Aided Neural Representations

IEEE Robotics and Automation Letters

Alexandra Carlson

Manikandasriram S Ramanagopal

Nathan Tseng

Matthew Johnson-Roberson

Ram Vasudevan

...

2023/3/27

Learning Orbitally Stable Systems for Diagrammatic Teaching

Weiming Zhi

Kangni Liu

Tianyi Zhang

Matthew Johnson-Roberson

2023/10/23

Learning cross-scale visual representations for real-time image geo-localization

IEEE Robotics and Automation Letters

Tianyi Zhang

Matthew Johnson-Roberson

2022/2/24

Lisnownet: Real-time snow removal for lidar point clouds

Ming-Yuan Yu

Ram Vasudevan

Matthew Johnson-Roberson

2022/10/23

Computer-vision object tracking for monitoring bottlenose dolphin habitat use and kinematics

PloS one

Joaquin Gabaldon

Ding Zhang

Lisa Lauderdale

Lance Miller

Matthew Johnson-Roberson

...

2022/2/3

Energy-optimal three-dimensional path-following control of autonomous underwater vehicles under ocean currents

Niankai Yang

Chao Shen

Matthew Johnson-Roberson

Jing Sun

2022/8/23

Energy-optimal control for autonomous underwater vehicles using economic model predictive control

IEEE Transactions on Control Systems Technology

Niankai Yang

Dongsik Chang

Matthew Johnson-Roberson

Jing Sun

2022/2/1

Hybrid visual SLAM for underwater vehicle manipulator systems

IEEE Robotics and Automation Letters

Gideon Billings

Richard Camilli

Matthew Johnson-Roberson

2022/5/20

An active perception framework for autonomous underwater vehicle navigation under sensor constraints

IEEE Transactions on Control Systems Technology

Dongsik Chang

Matthew Johnson-Roberson

Jing Sun

2022/1/12

See List of Professors in Matthew Johnson-Roberson University(University of Michigan)

Co-Authors

H-index: 60
Ryan M. Eustice

Ryan M. Eustice

University of Michigan

H-index: 40
Jeannette Bohg

Jeannette Bohg

Stanford University

H-index: 39
Ram Vasudevan

Ram Vasudevan

University of Michigan

H-index: 33
Jacob Abernethy

Jacob Abernethy

University of Michigan

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