Josh Mangelson

According to our database, Josh Mangelson authored at least 25 papers between 2017 and 2024.

Collaborative distances:

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

2024

Continuous-time Trajectory Estimation: A Comparative Study Between Gaussian Process and Spline-based Approaches.

Jacob Johnson, Joshua G. Mangelson, Timothy Barfoot, Randal W. Beard

CoRR, 2024

2023

Continuous-Time Trajectory Estimation for Differentially Flat Systems.

Jacob Johnson, Joshua G. Mangelson, Randal W. Beard

IEEE Robotics Autom. Lett., 2023

Group-k consistent measurement set maximization via maximum clique over k-Uniform hypergraphs for robust multi-robot map merging.

Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson

CoRR, 2023

AcTag: Opti-Acoustic Fiducial Markers for Underwater Localization and Mapping.

Kalin Norman, Daniel Butterfield, Joshua G. Mangelson

IROS, 2023

2022

InCOpt: Incremental Constrained Optimization using the Bayes Tree.

Mohamad Qadri, Paloma Sodhi, Joshua G. Mangelson, Frank Dellaert, Michael Kaess

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

HoloOcean: Realistic Sonar Simulation.

Easton R. Potokar, Kalliyan Lay, Kalin Norman, Derek Benham, Tracianne B. Neilsen, Michael Kaess, Joshua G. Mangelson

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

Group-k Consistent Measurement Set Maximization for Robust Outlier Detection.

Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson

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

ShapeMap 3-D: Efficient shape mapping through dense touch and vision.

Sudharshan Suresh, Zilin Si, Joshua G. Mangelson, Wenzhen Yuan, Michael Kaess

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

HoloOcean: An Underwater Robotics Simulator.

Easton R. Potokar, Spencer Ashford, Michael Kaess, Joshua G. Mangelson

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Invariant Extended Kalman Filtering for Underwater Navigation.

Easton R. Potokar, Kalin Norman, Joshua G. Mangelson

IEEE Robotics Autom. Lett., 2021

Efficient shape mapping through dense touch and vision.

Sudharshan Suresh, Zilin Si, Joshua G. Mangelson, Wenzhen Yuan, Michael Kaess

CoRR, 2021

Map Compressibility Assessment for LiDAR Registration.

Ming-Fang Chang, Wei Dong, Joshua G. Mangelson, Michael Kaess, Simon Lucey

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Tactile SLAM: Real-time inference of shape and pose from planar pushing.

Sudharshan Suresh, Maria Bauzá, Kuan-Ting Yu, Joshua G. Mangelson, Alberto Rodriguez, Michael Kaess

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

HyperMap: Compressed 3D Map for Monocular Camera Registration.

Ming-Fang Chang, Joshua G. Mangelson, Michael Kaess, Simon Lucey

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

A Graph-Based Method for Joint Instance Segmentation of Point Clouds and Image Sequences.

Montiel Abello, Joshua G. Mangelson, Michael Kaess

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

2020

Characterizing the Uncertainty of Jointly Distributed Poses in the Lie Algebra.

Joshua G. Mangelson, Maani Ghaffari Jadidi, Ram Vasudevan, Ryan M. Eustice

IEEE Trans. Robotics, 2020

A Robust Multi-Stereo Visual-Inertial Odometry Pipeline.

Joshua Jaekel, Joshua G. Mangelson, Sebastian A. Scherer, Michael Kaess

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

ARAS: Ambiguity-aware Robust Active SLAM based on Multi-hypothesis State and Map Estimations.

Ming Hsiao, Joshua G. Mangelson, Sudharshan Suresh, Christian Debrunner, Michael Kaess

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Efficient Multiresolution Scrolling Grid for Stereo Vision-based MAV Obstacle Avoidance.

Eric Dexheimer, Joshua G. Mangelson, Sebastian A. Scherer, Michael Kaess

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Active SLAM using 3D Submap Saliency for Underwater Volumetric Exploration.

Sudharshan Suresh, Paloma Sodhi, Joshua G. Mangelson, David Wettergreen, Michael Kaess

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

ICS: Incremental Constrained Smoothing for State Estimation.

Paloma Sodhi, Sanjiban Choudhury, Joshua G. Mangelson, Michael Kaess

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

2019

Guaranteed Globally Optimal Planar Pose Graph and Landmark SLAM via Sparse-Bounded Sums-of-Squares Programming.

Joshua G. Mangelson, Jinsun Liu, Ryan M. Eustice, Ram Vasudevan

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Pairwise Consistent Measurement Set Maximization for Robust Multi-Robot Map Merging.

Joshua G. Mangelson, Derrick Dominic, Ryan M. Eustice, Ram Vasudevan

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

Legged Robot State-Estimation Through Combined Forward Kinematic and Preintegrated Contact Factors.

Ross Hartley, Josh Mangelson, Lu Gan, Maani Ghaffari Jadidi, Jeffrey M. Walls, Ryan M. Eustice, Jessy W. Grizzle

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

2017

Legged Robot State-Estimation Through Combined Forward Kinematic and Preintegrated Contact Factors.

Ross Hartley, Josh Mangelson, Lu Gan, Maani Ghaffari Jadidi, Jeffrey M. Walls, Ryan M. Eustice, Jessy W. Grizzle

CoRR, 2017