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CMU-GPR Dataset: Ground Penetrating Radar Dataset for Robot Localization and Mapping


Jul 15, 2021
Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess

* Accepted to the Radar in Robotics Workshop at the 2021 International Conference on Robotics and Automation 

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Ground Encoding: Learned Factor Graph-based Models for Localizing Ground Penetrating Radar


Mar 29, 2021
Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess

* Submitted to the International Conference on Intelligent Robots and Systems (IROS) 2021 

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Learning Tactile Models for Factor Graph-based State Estimation


Dec 07, 2020
Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson

* Submitted to the IEEE International Conference on Robotics and Automation (ICRA) 2021 

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


Nov 13, 2020
Sudharshan Suresh, Maria Bauza, Kuan-Ting Yu, Joshua G. Mangelson, Alberto Rodriguez, Michael Kaess

* Under review as submission to the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021). For associated video file, see https://youtu.be/wdyagx5MM40 

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Compositional Scalable Object SLAM


Nov 05, 2020
Akash Sharma, Wei Dong, Michael Kaess

* Submitted to the 2021 IEEE International Conference on Robotics and Automation (ICRA) 7 pages, 7 figures 

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An Efficient Planar Bundle Adjustment Algorithm


May 30, 2020
Lipu Zhou, Daniel Koppel, Hui Ju, Frank Steinbruecker, Michael Kaess


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Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences


Apr 04, 2019
Lipu Zhou, Shengze Wang, Jiamin Ye, Michael Kaess


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Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss


Dec 08, 2018
Lipu Zhou, Jiamin Ye, Montiel Abello, Shengze Wang, Michael Kaess


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Robust Keyframe-based Dense SLAM with an RGB-D Camera


Nov 14, 2017
Haomin Liu, Chen Li, Guojun Chen, Guofeng Zhang, Michael Kaess, Hujun Bao

* 12 pages, 9 figures 

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Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments


Mar 21, 2017
Shichao Yang, Yu Song, Michael Kaess, Sebastian Scherer

* International Conference on Intelligent Robots and Systems (IROS) 2016 

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The Manifold Particle Filter for State Estimation on High-dimensional Implicit Manifolds


Apr 25, 2016
Matthew Klingensmith, Michael C. Koval, Siddhartha S. Srinivasa, Nancy S. Pollard, Michael Kaess

* 10 pages. Conference submission pre-print. Work in progress 

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