Matthew Johnson-Roberson

According to our database, Matthew Johnson-Roberson authored at least 120 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Unifying Representation and Calibration With 3D Foundation Models.

Weiming Zhi, Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., October, 2024

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

Niankai Yang, Chao Shen, Ziyou Song, Matthew Johnson-Roberson, Jing Sun

IEEE Trans. Control. Syst. Technol., March, 2024

SplaTraj: Camera Trajectory Generation with Semantic Gaussian Splatting.

Xinyi Liu, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi

CoRR, 2024

PhotoReg: Photometrically Registering 3D Gaussian Splatting Models.

Ziwen Yuan, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi

CoRR, 2024

Embodied-RAG: General non-parametric Embodied Memory for Retrieval and Generation.

Quanting Xie, So Yeon Min, Tianyi Zhang, Aarav Bajaj, Ruslan Salakhutdinov, Matthew Johnson-Roberson, Yonatan Bisk

CoRR, 2024

3D Foundation Models Enable Simultaneous Geometry and Pose Estimation of Grasped Objects.

Weiming Zhi, Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson

CoRR, 2024

RecGS: Removing Water Caustic with Recurrent Gaussian Splatting.

Tianyi Zhang, Weiming Zhi, Kaining Huang, Joshua Mangelson, Corina Barbalata, Matthew Johnson-Roberson

CoRR, 2024

From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking.

Xiaohao Xu, Tianyi Zhang, Sibo Wang, Xiang Li, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Xiaonan Huang

CoRR, 2024

Self-supervised Pre-training for Transferable Multi-modal Perception.

Xiaohao Xu, Tianyi Zhang, Jinrong Yang, Matthew Johnson-Roberson, Xiaonan Huang

CoRR, 2024

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

Weiming Zhi, Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson

CoRR, 2024

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

Qilin Sun, Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson

CoRR, 2024

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

Tianyi Zhang, Kaining Huang, Weiming Zhi, Matthew Johnson-Roberson

CoRR, 2024

V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes.

Herbert Wright, Weiming Zhi, Matthew Johnson-Roberson, Tucker Hermans

CoRR, 2024

Customizable Perturbation Synthesis for Robust SLAM Benchmarking.

Xiaohao Xu, Tianyi Zhang, Sibo Wang, Xiang Li, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Xiaonan Huang

CoRR, 2024

Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching.

Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery.

Tianyi Zhang, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., October, 2023

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

Alexandra Carlson, Manikandasriram Srinivasan Ramanagopal, Nathan Tseng, Matthew Johnson-Roberson, Ram Vasudevan, Katherine A. Skinner

IEEE Robotics Autom. Lett., May, 2023

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis.

Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Varma Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Shibo Zhao, Yu Quan Chong, Chen Wang, Katia P. Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian A. Scherer, Zsolt Kira, Fei Xia, Yonatan Bisk

CoRR, 2023

Learning Orbitally Stable Systems for Diagrammatically Teaching.

Weiming Zhi, Kangni Liu, Tianyi Zhang, Matthew Johnson-Roberson

CoRR, 2023

Reasoning about the Unseen for Efficient Outdoor Object Navigation.

Quanting Xie, Tianyi Zhang, Kedi Xu, Matthew Johnson-Roberson, Yonatan Bisk

CoRR, 2023

Learning from Demonstration via Probabilistic Diagrammatic Teaching.

Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson

CoRR, 2023

Hyperspherical Embedding for Point Cloud Completion.

Junming Zhang, Haomeng Zhang, Ram Vasudevan, Matthew Johnson-Roberson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Towards Automated Sample Collection and Return in Extreme Underwater Environments.

Gideon Billings, Matthew R. Walter, Oscar Pizarro, Matthew Johnson-Roberson, Richard Camilli

Field Robotics, March, 2022

Energy-Optimal Control for Autonomous Underwater Vehicles Using Economic Model Predictive Control.

Niankai Yang, Dongsik Chang, Matthew Johnson-Roberson, Jing Sun

IEEE Trans. Control. Syst. Technol., 2022

An Active Perception Framework for Autonomous Underwater Vehicle Navigation Under Sensor Constraints.

Dongsik Chang, Matthew Johnson-Roberson, Jing Sun

IEEE Trans. Control. Syst. Technol., 2022

Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization.

Tianyi Zhang, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2022

Hybrid Visual SLAM for Underwater Vehicle Manipulator Systems.

Gideon Billings, Richard Camilli, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2022

LiSnowNet: Real-time Snow Removal for LiDAR Point Cloud.

Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson

CoRR, 2022

LiSnowNet: Real-time Snow Removal for LiDAR Point Clouds.

Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Energy-optimal Three-dimensional Path-following Control of Autonomous Underwater Vehicles under Ocean Currents.

Niankai Yang, Chao Shen, Matthew Johnson-Roberson, Jing Sun

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021

A Kinematic Model for Trajectory Prediction in General Highway Scenarios.

Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., October, 2021

Detecting Generalized Replay Attacks via Time-Varying Dynamic Watermarking.

Matthew Porter, Pedro Hespanhol, Anil Aswani, Matthew Johnson-Roberson, Ramanarayan Vasudevan

IEEE Trans. Autom. Control., 2021

Point Set Voting for Partial Point Cloud Analysis.

Junming Zhang, Weijia Chen, Yuping Wang, Ram Vasudevan, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2021

BiTraP: Bi-Directional Pedestrian Trajectory Prediction With Multi-Modal Goal Estimation.

Yu Yao, Ella M. Atkins, Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du

IEEE Robotics Autom. Lett., 2021

Resilient Control of Platooning Networked Robitic Systems via Dynamic Watermarking.

Matthew Porter, Arnav Joshi, Sidhartha Dey, Qirui Wu, Pedro Hespanhol, Anil Aswani, Matthew Johnson-Roberson, Ram Vasudevan

CoRR, 2021

Coupling Intent and Action for Pedestrian Crossing Behavior Prediction.

Yu Yao, Ella M. Atkins, Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Energy-optimal Path Planning with Active Flow Perception for Autonomous Underwater Vehicles.

Niankai Yang, Dongsik Chang, Matthew Johnson-Roberson, Jing Sun

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Unsupervised Pedestrian Pose Prediction: A Deep Predictive Coding Network-Based Approach for Autonomous Vehicle Perception.

Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson

IEEE Robotics Autom. Mag., 2020

Deep Learning and Machine Learning in Robotics [From the Guest Editors].

Fabio Bonsignorio, David Hsu, Matthew Johnson-Roberson, Jens Kober

IEEE Robotics Autom. Mag., 2020

Pedestrian Planar LiDAR Pose (PPLP) Network for Oriented Pedestrian Detection Based on Planar LiDAR and Monocular Images.

Fan Bu, Trinh Le, Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2020

SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images.

Gideon Billings, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2020

Off the Beaten Sidewalk: Pedestrian Prediction in Shared Spaces for Autonomous Vehicles.

Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2020

Low Latency Trajectory Predictions for Interaction Aware Highway Driving.

Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2020

Bridging the gap between safety and real-time performance in receding-horizon trajectory design for mobile robots.

Shreyas Kousik, Sean Vaskov, Fan Bu, Matthew Johnson-Roberson, Ram Vasudevan

Int. J. Robotics Res., 2020

Parametric Design of Underwater Optical Systems.

Gideon Billings, Eduardo Iscar, Matthew Johnson-Roberson

CoRR, 2020

Pixel-Wise Motion Deblurring of Thermal Videos.

Manikandasriram Srinivasan Ramanagopal, Zixu Zhang, Ram Vasudevan, Matthew Johnson-Roberson

Proceedings of the Robotics: Science and Systems XVI, 2020

Reachable Sets for Safe, Real-Time Manipulator Trajectory Design.

Patrick D. Holmes, Shreyas Kousik, Bohao Zhang, Daphna Raz, Corina Barbalata, Matthew Johnson-Roberson, Ram Vasudevan

Proceedings of the Robotics: Science and Systems XVI, 2020

LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery.

Junming Zhang, Manikandasriram Srinivasan Ramanagopal, Ram Vasudevan, Matthew Johnson-Roberson

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Risk Assessment and Planning with Bidirectional Reachability for Autonomous Driving.

Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Leveraging the Template and Anchor Framework for Safe, Online Robotic Gait Design.

Jinsun Liu, Pengcheng Zhao, Zhenyu Gan, Matthew Johnson-Roberson, Ram Vasudevan

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Towards distortion based underwater domed viewport camera calibration.

Eduardo Iscar, Matthew Johnson-Roberson

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Detecting Deception Attacks on Autonomous Vehicles via Linear Time-Varying Dynamic Watermarking.

Matthew Porter, Sidhartha Dey, Arnav Joshi, Pedro Hespanhol, Anil Aswani, Matthew Johnson-Roberson, Ram Vasudevan

Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

Robust Energy-optimal Path Following Control for Autonomous Underwater Vehicles in Ocean Currents.

Niankai Yang, Dongsik Chang, Matthew Johnson-Roberson, Jing Sun

Proceedings of the 2020 American Control Conference, 2020

An Active Perception Approach for Mid-Water Localization of Autonomous Underwater Vehicles.

Dongsik Chang, Matthew Johnson-Roberson, Jing Sun

Proceedings of the 2020 American Control Conference, 2020

Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks.

Junming Zhang, Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation From Stereo Imagery.

Junming Zhang, Katherine A. Skinner, Ram Vasudevan, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2019

Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments.

Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2019

PedX: Benchmark Dataset for Metric 3-D Pose Estimation of Pedestrians in Complex Urban Intersections.

Wonhui Kim, Manikandasriram Srinivasan Ramanagopal, Charles Barto, Ming-Yuan Yu, Karl Rosaen, Nick Goumas, Ram Vasudevan, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2019

Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3-D Pedestrian Pose and Gait Prediction.

Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2019

Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation.

Alexandra Carlson, Katherine A. Skinner, Ram Vasudevan, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2019

SilhoNet: An RGB Method for 6D Object Pose Estimation.

Gideon Billings, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2019

Shadow Transfer: Single Image Relighting For Urban Road Scenes.

Alexandra Carlson, Ram Vasudevan, Matthew Johnson-Roberson

CoRR, 2019

On-Demand Trajectory Predictions for Interaction Aware Highway Driving.

Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson

CoRR, 2019

Towards Provably Not-At-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments.

Sean Vaskov, Shreyas Kousik, Hannah Larson, Fan Bu, James Robert Ward, Stewart Worrall, Matthew Johnson-Roberson, Ram Vasudevan

Proceedings of the Robotics: Science and Systems XV, 2019

Not-at-Fault Driving in Traffic: A Reachability-Based Approach.

Sean Vaskov, Hannah Larson, Shreyas Kousik, Matthew Johnson-Roberson, Ram Vasudevan

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Stochastic Sampling Simulation for Pedestrian Trajectory Prediction.

Cyrus Anderson, Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Localization and Tracking of Uncontrollable Underwater Agents: Particle Filter Based Fusion of On-Body IMUs and Stationary Cameras.

Ding Zhang, Joaquin Gabaldon, Lisa Lauderdale, Matthew Johnson-Roberson, Lance J. Miller, Kira Barton, K. Alex Shorter

Proceedings of the International Conference on Robotics and Automation, 2019

UWStereoNet: Unsupervised Learning for Depth Estimation and Color Correction of Underwater Stereo Imagery.

Katherine A. Skinner, Junming Zhang, Elizabeth A. Olson, Matthew Johnson-Roberson

Proceedings of the International Conference on Robotics and Automation, 2019

A constrained control-planning strategy for redundant manipulators.

Corina Barbalata, Ram Vasudevan, Matthew Johnson-Roberson

Proceedings of the International Conference on Robotics and Automation, 2019

Energy Management for Autonomous Underwater Vehicles using Economic Model Predictive Control.

Niankai Yang, Dongsik Chang, Mohammad Reza Amini, Matthew Johnson-Roberson, Jing Sun

Proceedings of the 2019 American Control Conference, 2019

Guaranteed Safe Reachability-based Trajectory Design for a High-Fidelity Model of an Autonomous Passenger Vehicle.

Sean Vaskov, Utkarsh Sharma, Shreyas Kousik, Matthew Johnson-Roberson, Ramanarayan Vasudevan

Proceedings of the 2019 American Control Conference, 2019

Simulation and Real-World Evaluation of Attack Detection Schemes.

Matthew Porter, Arnav Joshi, Pedro Hespanhol, Anil Aswani, Matthew Johnson-Roberson, Ram Vasudevan

Proceedings of the 2019 American Control Conference, 2019

2018

Failing to Learn: Autonomously Identifying Perception Failures for Self-Driving Cars.

Manikandasriram Srinivasan Ramanagopal, Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2018

WaterGAN: Unsupervised Generative Network to Enable Real-Time Color Correction of Monocular Underwater Images.

Jie Li, Katherine A. Skinner, Ryan M. Eustice, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2018

Pose-Graph SLAM Using Forward-Looking Sonar.

Jie Li, Michael Kaess, Ryan M. Eustice, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2018

SilhoNet: An RGB Method for 3D Object Pose Estimation and Grasp Planning.

Gideon Billings, Matthew Johnson-Roberson

CoRR, 2018

Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction.

Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson

CoRR, 2018

PedX: Benchmark Dataset for Metric 3D Pose Estimation of Pedestrians in Complex Urban Intersections.

Wonhui Kim, Manikandasriram Srinivasan Ramanagopal, Charles Barto, Ming-Yuan Yu, Karl Rosaen, Nick Goumas, Ram Vasudevan, Matthew Johnson-Roberson

CoRR, 2018

Modeling Camera Effects to Improve Deep Vision for Real and Synthetic Data.

Alexandra Carlson, Katherine A. Skinner, Matthew Johnson-Roberson

CoRR, 2018

Robust Environmental Mapping by Mobile Sensor Networks.

Hyongju Park, Jinsun Liu, Matthew Johnson-Roberson, Ram Vasudevan

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Modeling Camera Effects to Improve Visual Learning from Synthetic Data.

Alexandra Carlson, Katherine A. Skinner, Ram Vasudevan, Matthew Johnson-Roberson

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Real-Time Model Predictive Control for Energy Management in Autonomous Underwater Vehicle.

Niankai Yang, Mohammad Reza Amini, Matthew Johnson-Roberson, Jing Sun

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Mapping underwater ship hulls using a model-assisted bundle adjustment framework.

Paul Ozog, Matthew Johnson-Roberson, Ryan M. Eustice

Robotics Auton. Syst., 2017

Real-Time Certified Probabilistic Pedestrian Forecasting.

Henry O. Jacobs, Owen K. Hughes, Matthew Johnson-Roberson, Ram Vasudevan

IEEE Robotics Autom. Lett., 2017

High-Resolution Underwater Robotic Vision-Based Mapping and Three-Dimensional Reconstruction for Archaeology.

Matthew Johnson-Roberson, Mitch Bryson, Ariell Friedman, Oscar Pizarro, Giancarlo Troni, Paul Ozog, Jon C. Henderson

J. Field Robotics, 2017

Safe Trajectory Synthesis for Autonomous Driving in Unforeseen Environments.

Shreyas Kousik, Sean Vaskov, Matthew Johnson-Roberson, Ramanarayan Vasudevan

CoRR, 2017

Technical Report for Real-Time Certified Probabilistic Pedestrian Forecasting.

Henry O. Jacobs, Owen K. Hughes, Matthew Johnson-Roberson, Ram Vasudevan

CoRR, 2017

A probabilistic framework for intrinsic image decomposition from RGB-D streams.

Wonhui Kim, Matthew Johnson-Roberson

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

A framework for enhanced localization of marine mammals using auto-detected video and wearable sensor data fusion.

Joaquin Gabaldon, Ding Zhang, Kira Barton, Matthew Johnson-Roberson, K. Alex Shorter

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Automatic color correction for 3D reconstruction of underwater scenes.

Katherine A. Skinner, Eduardo Iscar, Matthew Johnson-Roberson

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Driving in the Matrix: Can virtual worlds replace human-generated annotations for real world tasks?

Matthew Johnson-Roberson, Charles Barto, Rounak Mehta, Sharath Nittur Sridhar, Karl Rosaen, Ram Vasudevan

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Underwater Image Dehazing with a Light Field Camera.

Katherine A. Skinner, Matthew Johnson-Roberson

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

True Color Correction of Autonomous Underwater Vehicle Imagery.

Mitch Bryson, Matthew Johnson-Roberson, Oscar Pizarro, Stefan B. Williams

J. Field Robotics, 2016

Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

Matthew Johnson-Roberson, Charles Barto, Rounak Mehta, Sharath Nittur Sridhar, Ram Vasudevan

CoRR, 2016

Towards real-time underwater 3D reconstruction with plenoptic cameras.

Katherine A. Skinner, Matthew Johnson-Roberson

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Utilizing high-dimensional features for real-time robotic applications: Reducing the curse of dimensionality for recursive Bayesian estimation.

Jie Li, Paul Ozog, Jacob D. Abernethy, Ryan M. Eustice, Matthew Johnson-Roberson

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

Discovering salient regions on 3D photo-textured maps: Crowdsourcing interaction data from multitouch smartphones and tablets.

Matthew Johnson-Roberson, Mitch Bryson, Bertrand Douillard, Oscar Pizarro, Stefan B. Williams

Comput. Vis. Image Underst., 2015

Financialized methods for market-based multi-sensor fusion.

Jacob D. Abernethy, Matthew Johnson-Roberson

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Building 3D mosaics from an Autonomous Underwater Vehicle, Doppler velocity log, and 2D imaging sonar.

Paul Ozog, Giancarlo Troni, Michael Kaess, Ryan M. Eustice, Matthew Johnson-Roberson

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

High-level visual features for underwater place recognition.

Jie Li, Ryan M. Eustice, Matthew Johnson-Roberson

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Crowdsourced saliency for mining robotically gathered 3D maps using multitouch interaction on smartphones and tablets.

Matthew Johnson-Roberson, Mitch Bryson, Bertrand Douillard, Oscar Pizarro, Stefan B. Williams

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

Frequency-based underwater terrain segmentation.

Bertrand Douillard, Navid Nourani-Vatani, Matthew Johnson-Roberson, Oscar Pizarro, Stefan B. Williams, Christopher N. Roman, Ian Vaughn

Auton. Robots, 2013

Automated registration for multi-year robotic surveys of marine benthic habitats.

Mitch Bryson, Matthew Johnson-Roberson, Oscar Pizarro, Stefan B. Williams

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Out-of-Core Efficient Blending for Underwater Georeferenced Textured 3D Maps.

Matthew Johnson-Roberson, Mitch Bryson, Bertrand Douillard, Oscar Pizarro, Stefan B. Williams

Proceedings of the Fourth International Conference on Computing for Geospatial Research and Application, 2013

2012

Monitoring of Benthic Reference Sites: Using an Autonomous Underwater Vehicle.

Stefan B. Williams, Oscar Pizarro, Michael V. Jakuba, Craig R. Johnson, Neville Barrett, Russell C. Babcock, Gary A. Kendrick, Peter D. Steinberg, Andrew J. Heyward, Peter J. Doherty, Ian Mahon, Matthew Johnson-Roberson, Daniel M. Steinberg, Ariell Friedman

IEEE Robotics Autom. Mag., 2012

FFT-based Terrain Segmentation for Underwater Mapping.

Bertrand Douillard, Navid Nourani-Vatani, Matthew Johnson-Roberson, Stefan B. Williams, Christopher N. Roman, Oscar Pizarro, Ian Vaughn, Gabrielle Inglis

Proceedings of the Robotics: Science and Systems VIII, 2012

Colour-Consistent Structure-from-Motion Models using Underwater Imagery.

Mitch Bryson, Matthew Johnson-Roberson, Oscar Pizarro, Stefan B. Williams

Proceedings of the Robotics: Science and Systems VIII, 2012

2011

Enhanced visual scene understanding through human-robot dialog.

Matthew Johnson-Roberson, Jeannette Bohg, Gabriel Skantze, Joakim Gustafson, Rolf Carlson, Babak Rasolzadeh, Danica Kragic

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Reconstructing pavlopetri: Mapping the world's oldest submerged town using stereo-vision.

Ian Mahon, Oscar Pizarro, Matthew Johnson-Roberson, Ariell Friedman, Stefan B. Williams, Jon C. Henderson

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Mind the gap - robotic grasping under incomplete observation.

Jeannette Bohg, Matthew Johnson-Roberson, Beatriz León, Javier Felip, Xavi Gratal, Niklas Bergström, Danica Kragic, Antonio Morales

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

Autonomous underwater vehicle-assisted surveying of drowned reefs on the shelf edge of the Great Barrier Reef, Australia.

Stefan B. Williams, Oscar Pizarro, Jody M. Webster, Robin J. Beaman, Ian Mahon, Matthew Johnson-Roberson, Tom C. L. Bridge

J. Field Robotics, 2010

Generation and visualization of large-scale three-dimensional reconstructions from underwater robotic surveys.

Matthew Johnson-Roberson, Oscar Pizarro, Stefan B. Williams, Ian Mahon

J. Field Robotics, 2010

Attention-based active 3D point cloud segmentation.

Matthew Johnson-Roberson, Jeannette Bohg, Mårten Björkman, Danica Kragic

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Strategies for multi-modal scene exploration.

Jeannette Bohg, Matthew Johnson-Roberson, Mårten Björkman, Danica Kragic

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Saliency ranking for benthic survey using underwater images.

Matthew Johnson-Roberson, Oscar Pizarro, Stefan B. Williams

Proceedings of the 11th International Conference on Control, 2010

Enhanced Visual Scene Understanding through Human-Robot Dialog.

Matthew Johnson-Roberson, Jeannette Bohg, Danica Kragic, Gabriel Skantze, Joakim Gustafson, Rolf Carlson

Proceedings of the Dialog with Robots, 2010

2009

Airborne smoothing and mapping using vision and inertial sensors.

Mitch Bryson, Matthew Johnson-Roberson, Salah Sukkarieh

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008

Efficient View-Based SLAM Using Visual Loop Closures.

Ian Mahon, Stefan B. Williams, Oscar Pizarro, Matthew Johnson-Roberson

IEEE Trans. Robotics, 2008

Simultaneous Localisation and Mapping and Dense Stereoscopic Seafloor Reconstruction Using an AUV.

Stefan B. Williams, Oscar Pizarro, Ian Mahon, Matthew Johnson-Roberson

Proceedings of the Experimental Robotics, The Eleventh International Symposium, 2008

2004

Low Cost Fault Detection Isolation and Recovery Implemented on an Autonomous Unmanned Ground Vehicle.

Phillip L. Koon, Matthew Johnson-Roberson, Chris Urmson, Jay Gowdy, Kevin M. Peterson

Proceedings of the ISCA 13th International Conference on Intelligent and Adaptive Systems and Software Engineering, 2004