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ORCIDJosh Mangelson
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2020 – today
- 2024
[c19]Chad R. Samuelson, Joshua G. Mangelson:
A Guided Gaussian-Dirichlet Random Field for Scientist-in-the-Loop Inference in Underwater Robotics. ICRA 2024: 9448-9454- [i8]Jacob Johnson, Joshua G. Mangelson, Timothy Barfoot, Randal W. Beard:
Continuous-time Trajectory Estimation: A Comparative Study Between Gaussian Process and Spline-based Approaches. CoRR abs/2402.00399 (2024) - 2023
- [j3]Jacob Johnson
, Joshua G. Mangelson, Randal W. Beard:
Continuous-Time Trajectory Estimation for Differentially Flat Systems. IEEE Robotics Autom. Lett. 8(1): 145-151 (2023) - [c18]Kalin Norman, Daniel Butterfield, Joshua G. Mangelson:
AcTag: Opti-Acoustic Fiducial Markers for Underwater Localization and Mapping. IROS 2023: 9955-9962 - [i7]Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson:
Group-k consistent measurement set maximization via maximum clique over k-Uniform hypergraphs for robust multi-robot map merging. CoRR abs/2308.02674 (2023) - 2022
- [c17]Easton R. Potokar, Spencer Ashford, Michael Kaess, Joshua G. Mangelson:
HoloOcean: An Underwater Robotics Simulator. ICRA 2022: 3040-3046 - [c16]Sudharshan Suresh, Zilin Si, Joshua G. Mangelson, Wenzhen Yuan, Michael Kaess:
ShapeMap 3-D: Efficient shape mapping through dense touch and vision. ICRA 2022: 7073-7080 - [c15]Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson:
Group-k Consistent Measurement Set Maximization for Robust Outlier Detection. IROS 2022: 4849-4856 - [c14]Mohamad Qadri, Paloma Sodhi, Joshua G. Mangelson, Frank Dellaert, Michael Kaess:
InCOpt: Incremental Constrained Optimization using the Bayes Tree. IROS 2022: 6381-6388 - [c13]Easton R. Potokar, Kalliyan Lay, Kalin Norman, Derek Benham, Tracianne B. Neilsen, Michael Kaess, Joshua G. Mangelson:
HoloOcean: Realistic Sonar Simulation. IROS 2022: 8450-8456 - [i6]Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson:
Group-k Consistent Measurement Set Maximization for Robust Outlier Detection. CoRR abs/2209.02658 (2022) - 2021
- [j2]Easton R. Potokar, Kalin Norman, Joshua G. Mangelson:
Invariant Extended Kalman Filtering for Underwater Navigation. IEEE Robotics Autom. Lett. 6(3): 5792-5799 (2021) - [c12]Montiel Abello, Joshua G. Mangelson, Michael Kaess:
A Graph-Based Method for Joint Instance Segmentation of Point Clouds and Image Sequences. ICRA 2021: 9565-9571 - [c11]Sudharshan Suresh, Maria Bauzá, Kuan-Ting Yu, Joshua G. Mangelson, Alberto Rodriguez, Michael Kaess:
Tactile SLAM: Real-time inference of shape and pose from planar pushing. ICRA 2021: 11322-11328 - [c10]Ming-Fang Chang, Joshua G. Mangelson, Michael Kaess, Simon Lucey:
HyperMap: Compressed 3D Map for Monocular Camera Registration. ICRA 2021: 11739-11745 - [c9]Ming-Fang Chang, Wei Dong, Joshua G. Mangelson, Michael Kaess, Simon Lucey:
Map Compressibility Assessment for LiDAR Registration. IROS 2021: 5560-5567 - [i5]Sudharshan Suresh, Zilin Si, Joshua G. Mangelson, Wenzhen Yuan, Michael Kaess:
Efficient shape mapping through dense touch and vision. CoRR abs/2109.09884 (2021) - 2020
- [j1]Joshua G. Mangelson, Maani Ghaffari Jadidi, Ram Vasudevan, Ryan M. Eustice:
Characterizing the Uncertainty of Jointly Distributed Poses in the Lie Algebra. IEEE Trans. Robotics 36(5): 1371-1388 (2020) - [c8]Paloma Sodhi, Sanjiban Choudhury, Joshua G. Mangelson, Michael Kaess:
ICS: Incremental Constrained Smoothing for State Estimation. ICRA 2020: 279-285 - [c7]Sudharshan Suresh, Paloma Sodhi, Joshua G. Mangelson, David Wettergreen, Michael Kaess:
Active SLAM using 3D Submap Saliency for Underwater Volumetric Exploration. ICRA 2020: 3132-3138 - [c6]Joshua Jaekel, Joshua G. Mangelson, Sebastian A. Scherer, Michael Kaess:
A Robust Multi-Stereo Visual-Inertial Odometry Pipeline. IROS 2020: 4623-4630 - [c5]Eric Dexheimer, Joshua G. Mangelson, Sebastian A. Scherer, Michael Kaess:
Efficient Multiresolution Scrolling Grid for Stereo Vision-based MAV Obstacle Avoidance. IROS 2020: 4758-4765 - [c4]Ming Hsiao, Joshua G. Mangelson, Sudharshan Suresh, Christian Debrunner, Michael Kaess:
ARAS: Ambiguity-aware Robust Active SLAM based on Multi-hypothesis State and Map Estimations. IROS 2020: 5037-5044 - [i4]Sudharshan Suresh, Maria Bauzá, Kuan-Ting Yu, Joshua G. Mangelson, Alberto Rodriguez, Michael Kaess:
Tactile SLAM: Real-time inference of shape and pose from planar pushing. CoRR abs/2011.07044 (2020)
2010 – 2019
- 2019
- [c3]Joshua G. Mangelson, Jinsun Liu, Ryan M. Eustice, Ram Vasudevan:
Guaranteed Globally Optimal Planar Pose Graph and Landmark SLAM via Sparse-Bounded Sums-of-Squares Programming. ICRA 2019: 9306-9312 - [i3]Joshua G. Mangelson, Maani Ghaffari Jadidi, Ram Vasudevan, Ryan M. Eustice:
Characterizing the Uncertainty of Jointly Distributed Poses in the Lie Algebra. CoRR abs/1906.07795 (2019) - 2018
- [c2]Ross Hartley, Josh Mangelson, Lu Gan, Maani Ghaffari Jadidi, Jeffrey M. Walls, Ryan M. Eustice, Jessy W. Grizzle:
Legged Robot State-Estimation Through Combined Forward Kinematic and Preintegrated Contact Factors. ICRA 2018: 1-8 - [c1]Joshua G. Mangelson, Derrick Dominic, Ryan M. Eustice, Ram Vasudevan:
Pairwise Consistent Measurement Set Maximization for Robust Multi-Robot Map Merging. ICRA 2018: 2916-2923 - [i2]Joshua G. Mangelson, Jinsun Liu, Ryan M. Eustice, Ram Vasudevan:
Guaranteed Globally Optimal Planar Pose Graph and Landmark SLAM via Sparse-Bounded Sums-of-Squares Programming. CoRR abs/1809.07744 (2018) - 2017
- [i1]Ross Hartley, Josh Mangelson, Lu Gan, Maani Ghaffari Jadidi, Jeffrey M. Walls, Ryan M. Eustice, Jessy W. Grizzle:
Legged Robot State-Estimation Through Combined Forward Kinematic and Preintegrated Contact Factors. CoRR abs/1712.05873 (2017)
Coauthor Index
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last updated on 2024-08-20 20:29 CEST by the dblp team
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