Learning Behavioral Parameterization using Spatio-Temporal Case-Based Reasoning. - Maxim Likhachev; Michael Kaess; Ronald C. Arkin (ICRA, 2002)

The Georgia Tech Yellow Jackets: A Marsupial Team for Urban Search and Rescue. - Frank Dellaert; Tucker R. Balch; Michael Kaess; Ram Ravichandran; Fernando Alegre; Marc Berhault; Robert McGuire; Ernest Merrill; Lilia V. Moshkina; Daniel Walker (AAAI Mobile Robot Competition, 2002)

Reconstruction of Objects with Jagged Edges through Rao-Blackwellized Fitting of Piecewise Smooth Subdivision Curves. - Michael Kaess; Frank Dellaert (HLK, 2003)

MCMC-Based Multiview Reconstruction of Piecewise Smooth Subdivision Curves with a Variable Number of Control Points. - Michael Kaess; Rafal Zboinski; Frank Dellaert (ECCV (3), 2004)

A Markov Chain Monte Carlo Approach to Closing the Loop in SLAM. - Michael Kaess; Frank Dellaert (ICRA, 2005)

Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing. - Frank Dellaert; Michael Kaess (Int. J. Robotics Res., 2006)

iSAM: Fast Incremental Smoothing and Mapping with Efficient Data Association. - Michael Kaess; Ananth Ranganathan; Frank Dellaert (ICRA, 2007)

Fast Incremental Square Root Information Smoothing. - Michael Kaess; Ananth Ranganathan; Frank Dellaert (IJCAI, 2007)

Loopy SAM. - Ananth Ranganathan; Michael Kaess; Frank Dellaert (IJCAI, 2007)

Fast 3D pose estimation with out-of-sequence measurements. - Ananth Ranganathan; Michael Kaess; Frank Dellaert (IROS, 2007)

Place recognition-based fixed-lag smoothing for environments with unreliable GPS. - Roozbeh Mottaghi; Michael Kaess; Ananth Ranganathan; Richard Roberts 001; Frank Dellaert (ICRA, 2008)

iSAM: Incremental Smoothing and Mapping. - Michael Kaess; Ananth Ranganathan; Frank Dellaert (IEEE Trans. Robotics, 2008)

Incremental smoothing and mapping. - Michael Kaess (2008)

Flow separation for fast and robust stereo odometry. - Michael Kaess; Kai Ni 001; Frank Dellaert (ICRA, 2009)

Covariance recovery from a square root information matrix for data association. - Michael Kaess; Frank Dellaert (Robotics Auton. Syst., 2009)

Multiple relative pose graphs for robust cooperative mapping. - Been Kim; Michael Kaess; Luke Fletcher; John J. Leonard; Abraham Bachrach; Nicholas Roy; Seth J. Teller (ICRA, 2010)

Imaging sonar-aided navigation for autonomous underwater harbor surveillance. - Hordur Johannsson; Michael Kaess; Brendan J. Englot; Franz Hover; John J. Leonard (IROS, 2010)

The Bayes Tree: An Algorithmic Foundation for Probabilistic Robot Mapping. - Michael Kaess; Viorela Ila; Richard Roberts 001; Frank Dellaert (WAFR, 2010)

Probabilistic structure matching for visual SLAM with a multi-camera rig. - Michael Kaess; Frank Dellaert (Comput. Vis. Image Underst., 2010)

6-DOF Multi-session Visual SLAM using Anchor Nodes. - John McDonald 001; Michael Kaess; Cesar Dario Cadena Lerma; José Neira; John J. Leonard (ECMR, 2011)

Efficient AUV navigation fusing acoustic ranging and side-scan sonar. - Maurice F. Fallon; Michael Kaess; Hordur Johannsson; John J. Leonard (ICRA, 2011)

iSAM2: Incremental smoothing and mapping with fluid relinearization and incremental variable reordering. - Michael Kaess; Hordur Johannsson; Richard Roberts 001; Viorela Ila; John J. Leonard; Frank Dellaert (ICRA, 2011)

Factor graph based incremental smoothing in inertial navigation systems. - Vadim Indelman; Stephen Williams; Michael Kaess; Frank Dellaert (FUSION, 2012)

Concurrent filtering and smoothing. - Michael Kaess; Stephen Williams; Vadim Indelman; Richard Roberts 001; John J. Leonard; Frank Dellaert (FUSION, 2012)

An incremental trust-region method for Robust online sparse least-squares estimation. - David M. Rosen; Michael Kaess; John J. Leonard (ICRA, 2012)

Dynamic pose graph SLAM: Long-term mapping in low dynamic environments. - Aisha Walcott-Bryant; Michael Kaess; Hordur Johannsson; John J. Leonard (IROS, 2012)

Advanced perception, navigation and planning for autonomous in-water ship hull inspection. - Franz S. Hover; Ryan M. Eustice; Ayoung Kim; Brendan J. Englot; Hordur Johannsson; Michael Kaess; John J. Leonard (Int. J. Robotics Res., 2012)

iSAM2: Incremental smoothing and mapping using the Bayes tree. - Michael Kaess; Hordur Johannsson; Richard Roberts 001; Viorela Ila; John J. Leonard; Frank Dellaert (Int. J. Robotics Res., 2012)

Toward lifelong object segmentation from change detection in dense RGB-D maps. - Ross Finman; Thomas Whelan; Michael Kaess; John J. Leonard (ECMR, 2013)

Consistent sparsification for graph optimization. - Guoquan Huang 001; Michael Kaess; John J. Leonard (ECMR, 2013)

Unscented iSAM: A consistent incremental solution to cooperative localization and target tracking. - Guoquan Huang 001; Robert Truax; Michael Kaess; John J. Leonard (ECMR, 2013)

Mapping 3D Underwater Environments with Smoothed Submaps. - Mark VanMiddlesworth; Michael Kaess; Franz Hover; John J. Leonard (FSR, 2013)

Analytically-selected multi-hypothesis incremental MAP estimation. - Guoquan Huang 001; Michael Kaess; John J. Leonard; Stergios I. Roumeliotis (ICASSP, 2013)

Temporally scalable visual SLAM using a reduced pose graph. - Hordur Johannsson; Michael Kaess; Maurice F. Fallon; John J. Leonard (ICRA, 2013)

Robust incremental online inference over sparse factor graphs: Beyond the Gaussian case. - David M. Rosen; Michael Kaess; John J. Leonard (ICRA, 2013)

Robust real-time visual odometry for dense RGB-D mapping. - Thomas Whelan; Hordur Johannsson; Michael Kaess; John J. Leonard; John McDonald 001 (ICRA, 2013)

Deformation-based loop closure for large scale dense RGB-D SLAM. - Thomas Whelan; Michael Kaess; John J. Leonard; John McDonald 001 (IROS, 2013)

The MIT Stata Center dataset. - Maurice F. Fallon; Hordur Johannsson; Michael Kaess; John J. Leonard (Int. J. Robotics Res., 2013)

Autonomous Flight in GPS-Denied Environments Using Monocular Vision and Inertial Sensors. - Allen Wu; Eric N. Johnson; Michael Kaess; Frank Dellaert; Girish Chowdhary 001 (J. Aerosp. Inf. Syst., 2013)

Information fusion in navigation systems via factor graph based incremental smoothing. - Vadim Indelman; Stephen Williams; Michael Kaess; Frank Dellaert (Robotics Auton. Syst., 2013)

Real-time 6-DOF multi-session visual SLAM over large-scale environments. - John McDonald 001; Michael Kaess; Cesar Dario Cadena Lerma; José Neira; John J. Leonard (Robotics Auton. Syst., 2013)

Efficient incremental map segmentation in dense RGB-D maps. - Ross Finman; Thomas Whelan; Michael Kaess; John J. Leonard (ICRA, 2014)

Towards consistent visual-inertial navigation. - Guoquan Huang 001; Michael Kaess; John J. Leonard (ICRA, 2014)

Real-time depth enhanced monocular odometry. - Ji Zhang 003; Michael Kaess; Sanjiv Singh (IROS, 2014)

Concurrent filtering and smoothing: A parallel architecture for real-time navigation and full smoothing. - Stephen Williams; Vadim Indelman; Michael Kaess; Richard Roberts 001; John J. Leonard; Frank Dellaert (Int. J. Robotics Res., 2014)

Generic Node Removal for Factor-Graph SLAM. - Nicholas Carlevaris-Bianco; Michael Kaess; Ryan M. Eustice (IEEE Trans. Robotics, 2014)

RISE: An Incremental Trust-Region Method for Robust Online Sparse Least-Squares Estimation. - David M. Rosen; Michael Kaess; John J. Leonard (IEEE Trans. Robotics, 2014)

Simultaneous localization and mapping with infinite planes. - Michael Kaess (ICRA, 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 (ICRA, 2015)

Towards acoustic structure from motion for imaging sonar. - Tiffany A. Huang; Michael Kaess (IROS, 2015)

Bridging text spotting and SLAM with junction features. - Hsueh-Cheng Wang; Chelsea Finn; Liam Paull; Michael Kaess; Ruth Rosenholtz; Seth J. Teller; John J. Leonard (IROS, 2015)

Real-time large-scale dense RGB-D SLAM with volumetric fusion. - Thomas Whelan; Michael Kaess; Hordur Johannsson; Maurice F. Fallon; John J. Leonard; John McDonald 001 (Int. J. Robotics Res., 2015)

Consistent unscented incremental smoothing for multi-robot cooperative target tracking. - Guoquan Huang 001; Michael Kaess; John J. Leonard (Robotics Auton. Syst., 2015)

On degeneracy of optimization-based state estimation problems. - Ji Zhang 003; Michael Kaess; Sanjiv Singh (ICRA, 2016)

A nonparametric belief solution to the Bayes tree. - Dehann Fourie; John J. Leonard; Michael Kaess (IROS, 2016)

Long-range GPS-denied aerial inertial navigation with LIDAR localization. - Garrett Hemann; Sanjiv Singh; Michael Kaess (IROS, 2016)

Incremental data association for acoustic structure from motion. - Tiffany A. Huang; Michael Kaess (IROS, 2016)

Underwater inspection using sonar-based volumetric submaps. - Pedro V. Teixeira; Michael Kaess; Franz S. Hover; John J. Leonard (IROS, 2016)

Pop-up SLAM: Semantic monocular plane SLAM for low-texture environments. - Shichao Yang; Yu Song; Michael Kaess; Sebastian A. Scherer (IROS, 2016)

Articulated Robot Motion for Simultaneous Localization and Mapping (ARM-SLAM). - Matthew Klingensmith; Siddartha S. Sirinivasa; Michael Kaess (IEEE Robotics Autom. Lett., 2016)

Keyframe-based dense planar SLAM. - Ming Hsiao; Eric Westman; Guofeng Zhang 001; Michael Kaess (ICRA, 2017)

The manifold particle filter for state estimation on high-dimensional implicit manifolds. - Michael C. Koval; Matthew Klingensmith; Siddhartha S. Srinivasa; Nancy S. Pollard; Michael Kaess (ICRA, 2017)

Robust stereo matching with surface normal prediction. - Shuangli Zhang; Weijian Xie; Guofeng Zhang 001; Hujun Bao; Michael Kaess (ICRA, 2017)

GravityFusion: Real-time dense mapping without pose graph using deformation and orientation. - Puneet Puri; Daoyuan Jia; Michael Kaess (IROS, 2017)

A real-time method for depth enhanced visual odometry. - Ji Zhang 003; Michael Kaess; Sanjiv Singh (Auton. Robots, 2017)

Robust Keyframe-based Dense SLAM with an RGB-D Camera. - Haomin Liu; Chen Li; Guojun Chen; Guofeng Zhang 001; Michael Kaess; Hujun Bao (CoRR, 2017)

Factor Graphs for Robot Perception. - Frank Dellaert; Michael Kaess (Found. Trends Robotics, 2017)

Direct Visual Odometry in Low Light Using Binary Descriptors. - Hatem Alismail; Michael Kaess; Brett Browning; Simon Lucey (IEEE Robotics Autom. Lett., 2017)

A Stable Algebraic Camera Pose Estimation for Minimal Configurations of 2D/3D Point and Line Correspondences. - Lipu Zhou; Jiamin Ye; Michael Kaess (ACCV (4), 2018)

Dense Planar-Inertial SLAM with Structural Constraints. - Ming Hsiao; Eric Westman; Michael Kaess (ICRA, 2018)

Feature-Based SLAM for Imaging Sonar with Under-Constrained Landmarks. - Eric Westman; Akshay Hinduja; Michael Kaess (ICRA, 2018)

Virtual Occupancy Grid Map for Submap-based Pose Graph SLAM and Planning in 3D Environments. - Bing-Jui Ho; Paloma Sodhi; Pedro Teixeira; Ming Hsiao; Tushar Kusnur; Michael Kaess (IROS, 2018)

Information Sparsification in Visual-Inertial Odometry. - Jerry Hsiung; Ming Hsiao; Eric Westman; Rafael Valencia; Michael Kaess (IROS, 2018)

Multibeam Data Processing for Underwater Mapping. - Pedro V. Teixeira; Franz S. Hover; John J. Leonard; Michael Kaess (IROS, 2018)

Automatic Extrinsic Calibration of a Camera and a 3D LiDAR Using Line and Plane Correspondences. - Lipu Zhou; Zimo Li; Michael Kaess (IROS, 2018)

Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss. - Lipu Zhou; Jiamin Ye; Montiel Abello; Shengze Wang 002; Michael Kaess (CoRR, 2018)

Pose-Graph SLAM Using Forward-Looking Sonar. - Jie Li 017; Michael Kaess; Ryan M. Eustice; Matthew Johnson-Roberson (IEEE Robotics Autom. Lett., 2018)

A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance. - Lipu Zhou; Yi Yang; Montiel Abello; Michael Kaess (AAAI, 2019)

MH-iSAM2: Multi-hypothesis iSAM using Bayes Tree and Hypo-tree. - Ming Hsiao; Michael Kaess (ICRA, 2019)

Dense Surface Reconstruction from Monocular Vision and LiDAR. - Zimo Li; Prakruti C. Gogia; Michael Kaess (ICRA, 2019)

Multi-view Reconstruction of Wires using a Catenary Model. - Ratnesh Madaan; Michael Kaess; Sebastian A. Scherer (ICRA, 2019)

Surfel-Based Dense RGB-D Reconstruction With Global And Local Consistency. - Yi Yang; Wei Dong; Michael Kaess (ICRA, 2019)

GPU Accelerated Robust Scene Reconstruction. - Wei Dong; Jaesik Park; Yi Yang; Michael Kaess (IROS, 2019)

Degeneracy-Aware Factors with Applications to Underwater SLAM. - Akshay Hinduja; Bing-Jui Ho; Michael Kaess (IROS, 2019)

Online and Consistent Occupancy Grid Mapping for Planning in Unknown Environments. - Paloma Sodhi; Bing-Jui Ho; Michael Kaess (IROS, 2019)

Dense, Sonar-based Reconstruction of Underwater Scenes. - Pedro V. Teixeira; Dehann Fourie; Michael Kaess; John J. Leonard (IROS, 2019)

Wide Aperture Imaging Sonar Reconstruction using Generative Models. - Eric Westman; Michael Kaess (IROS, 2019)

An Efficient and Accurate Algorithm for the Perspecitve-n-Point Problem. - Lipu Zhou; Michael Kaess (IROS, 2019)

EyeSAM: graph-based localization and mapping of retinal vasculature during intraocular microsurgery. - Shohin Mukherjee; Michael Kaess; Joseph N. Martel; Cameron N. Riviere (Int. J. Comput. Assist. Radiol. Surg., 2019)

Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences. - Lipu Zhou; Shengze Wang 002; Jiamin Ye; Michael Kaess (CoRR, 2019)

Through-Water Stereo SLAM With Refraction Correction for AUV Localization. - Sudharshan Suresh; Eric Westman; Michael Kaess (IEEE Robotics Autom. Lett., 2019)

ICS: Incremental Constrained Smoothing for State Estimation. - Paloma Sodhi; Sanjiban Choudhury; Joshua G. Mangelson; Michael Kaess (ICRA, 2020)

Active SLAM using 3D Submap Saliency for Underwater Volumetric Exploration. - Sudharshan Suresh; Paloma Sodhi; Joshua G. Mangelson; David Wettergreen; Michael Kaess (ICRA, 2020)

A Volumetric Albedo Framework for 3D Imaging Sonar Reconstruction. - Eric Westman; Ioannis Gkioulekas; Michael Kaess (ICRA, 2020)

A Fast and Accurate Solution for Pose Estimation from 3D Correspondences. - Lipu Zhou; Shengze Wang 002; Michael Kaess (ICRA, 2020)

Efficient Multiresolution Scrolling Grid for Stereo Vision-based MAV Obstacle Avoidance. - Eric Dexheimer; Joshua G. Mangelson; Sebastian A. Scherer; Michael Kaess (IROS, 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 (IROS, 2020)

A Robust Multi-Stereo Visual-Inertial Odometry Pipeline. - Joshua Jaekel; Joshua G. Mangelson; Sebastian A. Scherer; Michael Kaess (IROS, 2020)

Efficient Trajectory Library Filtering for Quadrotor Flight in Unknown Environments. - Vaibhav K. Viswanathan; Eric Dexheimer; Guanrui Li; Giuseppe Loianno; Michael Kaess; Sebastian A. Scherer (IROS, 2020)

A Theory of Fermat Paths for 3D Imaging Sonar Reconstruction. - Eric Westman; Ioannis Gkioulekas; Michael Kaess (IROS, 2020)

An Efficient Planar Bundle Adjustment Algorithm. - Lipu Zhou; Daniel Koppel; Hui Ju; Frank Steinbrücker; Michael Kaess (ISMAR, 2020)

Compositional Scalable Object SLAM. - Akash Sharma; Wei Dong; Michael Kaess (CoRR, 2020)

Learning Tactile Models for Factor Graph-based State Estimation. - Paloma Sodhi; Michael Kaess; Mustafa Mukadam; Stuart Anderson (CoRR, 2020)

Windowed Bundle Adjustment Framework for Unsupervised Learning of Monocular Depth Estimation With U-Net Extension and Clip Loss. - Lipu Zhou; Michael Kaess (IEEE Robotics Autom. Lett., 2020)

LEO: Learning Energy-based Models in Factor Graph Optimization. - Paloma Sodhi; Eric Dexheimer; Mustafa Mukadam; Stuart Anderson; Michael Kaess (CoRL, 2021)

A Graph-Based Method for Joint Instance Segmentation of Point Clouds and Image Sequences. - Montiel Abello; Joshua G. Mangelson; Michael Kaess (ICRA, 2021)

HyperMap: Compressed 3D Map for Monocular Camera Registration. - Ming-Fang Chang; Joshua G. Mangelson; Michael Kaess; Simon Lucey (ICRA, 2021)

Compositional and Scalable Object SLAM. - Akash Sharma; Wei Dong; Michael Kaess (ICRA, 2021)

Learning Tactile Models for Factor Graph-based Estimation. - Paloma Sodhi; Michael Kaess; Mustafa Mukadam; Stuart Anderson (ICRA, 2021)

Tactile SLAM: Real-time inference of shape and pose from planar pushing. - Sudharshan Suresh; Maria Bauzá 001; Kuan-Ting Yu; Joshua G. Mangelson; Alberto Rodriguez 003; Michael Kaess (ICRA, 2021)

π-LSAM: LiDAR Smoothing and Mapping With Planes. - Lipu Zhou; Shengze Wang 002; Michael Kaess (ICRA, 2021)

Ground Encoding: Learned Factor Graph-based Models for Localizing Ground Penetrating Radar. - Alexander Baikovitz; Paloma Sodhi; Michael Dille; Michael Kaess (IROS, 2021)

Map Compressibility Assessment for LiDAR Registration. - Ming-Fang Chang; Wei Dong; Joshua G. Mangelson; Michael Kaess; Simon Lucey (IROS, 2021)

Characterizing Marginalization and Incremental Operations on the Bayes Tree. - Dehann Fourie; Antonio Terán Espinoza; Michael Kaess; John J. Leonard (WAFR, 2021)

CMU-GPR Dataset: Ground Penetrating Radar Dataset for Robot Localization and Mapping. - Alexander Baikovitz; Paloma Sodhi; Michael Dille; Michael Kaess (CoRR, 2021)

LEO: Learning Energy-based Models in Graph Optimization. - Paloma Sodhi; Eric Dexheimer; Mustafa Mukadam; Stuart Anderson; Michael Kaess (CoRR, 2021)

Efficient shape mapping through dense touch and vision. - Sudharshan Suresh; Zilin Si; Joshua G. Mangelson; Wenzhen Yuan 001; Michael Kaess (CoRR, 2021)

Real-time Registration and Reconstruction with Cylindrical LiDAR Images. - Wei Dong; Kwonyoung Ryu; Michael Kaess; Jaesik Park (CoRR, 2021)

A Complete, Accurate and Efficient Solution for the Perspective-N-Line Problem. - Lipu Zhou; Daniel Koppel; Michael Kaess (IEEE Robotics Autom. Lett., 2021)

LiDAR SLAM With Plane Adjustment for Indoor Environment. - Lipu Zhou; Daniel Koppel; Michael Kaess (IEEE Robotics Autom. Lett., 2021)

DPLVO: Direct Point-Line Monocular Visual Odometry. - Lipu Zhou; Shengze Wang 002; Michael Kaess (IEEE Robotics Autom. Lett., 2021)

MidasTouch: Monte-Carlo inference over distributions across sliding touch. - Sudharshan Suresh; Zilin Si; Stuart Anderson; Michael Kaess; Mustafa Mukadam (CoRL, 2022)

Long-term Visual Map Sparsification with Heterogeneous GNN. - Ming-Fang Chang; Yipu Zhao; Rajvi Shah; Jakob J. Engel; Michael Kaess; Simon Lucey (CVPR, 2022)

GPS-Denied Global Visual-Inertial Ground Vehicle State Estimation via Image Registration. - Yehonathan Litman; Daniel McGann; Eric Dexheimer; Michael Kaess (ICRA, 2022)

HoloOcean: An Underwater Robotics Simulator. - Easton R. Potokar; Spencer Ashford; Michael Kaess; Joshua G. Mangelson (ICRA, 2022)

PatchGraph: In-hand tactile tracking with learned surface normals. - Paloma Sodhi; Michael Kaess; Mustafa Mukadam; Stuart Anderson (ICRA, 2022)

ShapeMap 3-D: Efficient shape mapping through dense touch and vision. - Sudharshan Suresh; Zilin Si; Joshua G. Mangelson; Wenzhen Yuan 001; Michael Kaess (ICRA, 2022)

EDPLVO: Efficient Direct Point-Line Visual Odometry. - Lipu Zhou; Guoquan Huang 003; Yinian Mao; Shengze Wang 002; Michael Kaess (ICRA, 2022)

Group-k Consistent Measurement Set Maximization for Robust Outlier Detection. - Brendon Forsgren; Ram Vasudevan; Michael Kaess; Timothy W. McLain; Joshua G. Mangelson (IROS, 2022)

Acoustic Localization and Communication Using a MEMS Microphone for Low-cost and Low-power Bio-inspired Underwater Robots. - Akshay Hinduja; Yunsik Ohm; Jiahe Liao; Carmel Majidi; Michael Kaess (IROS, 2022)

HoloOcean: Realistic Sonar Simulation. - Easton R. Potokar; Kalliyan Lay; Kalin Norman; Derek Benham; Tracianne B. Neilsen; Michael Kaess; Joshua G. Mangelson (IROS, 2022)

InCOpt: Incremental Constrained Optimization using the Bayes Tree. - Mohamad Qadri; Paloma Sodhi; Joshua G. Mangelson; Frank Dellaert; Michael Kaess (IROS, 2022)

Learned Depth Estimation of 3D Imaging Radar for Indoor Mapping. - Ruoyang Xu; Wei Dong; Akash Sharma; Michael Kaess (IROS, 2022)

TartanCalib: Iterative Wide-Angle Lens Calibration using Adaptive SubPixel Refinement of AprilTags. - Bardienus Pieter Duisterhof; Yaoyu Hu; Si Heng Teng; Michael Kaess; Sebastian A. Scherer (CoRR, 2022)

Information-Theoretic Online Multi-Camera Extrinsic Calibration. - Eric Dexheimer; Patrick Peluse; Jianhui Chen; James Pritts; Michael Kaess (IEEE Robotics Autom. Lett., 2022)

$ mathcal {PLC}$-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders. - Lipu Zhou; Guoquan Huang 001; Yinian Mao; Jincheng Yu; Shengze Wang 002; Michael Kaess (IEEE Robotics Autom. Lett., 2022)

Neural Radiance Fields with LiDAR Maps. - Ming-Fang Chang; Akash Sharma; Michael Kaess; Simon Lucey (ICCV, 2023)

Conditional GANs for Sonar Image Filtering with Applications to Underwater Occupancy Mapping. - Tianxiang Lin; Akshay Hinduja; Mohamad Qadri; Michael Kaess (ICRA, 2023)

Robust Incremental Smoothing and Mapping (riSAM). - Daniel McGann; John G. Rogers; Michael Kaess (ICRA, 2023)

Neural Implicit Surface Reconstruction using Imaging Sonar. - Mohamad Qadri; Michael Kaess; Ioannis Gkioulekas (ICRA, 2023)

Efficient Bundle Adjustment for Coplanar Points and Lines. - Lipu Zhou; Jiacheng Liu 008; Fengguang Zhai; Pan Ai; Kefei Ren; Yinian Mao; Guoquan Huang 003; Ziyang Meng 001; Michael Kaess (ICRA, 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)

Learning Observation Models with Incremental Non-Differentiable Graph Optimizers in the Loop for Robotics State Estimation. - Mohamad Qadri; Michael Kaess (CoRR, 2023)

Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. - Sudharshan Suresh; Haozhi Qi; Tingfan Wu; Taosha Fan; Luis Pineda; Mike Lambeta; Jitendra Malik; Mrinal Kalakrishnan; Roberto Calandra; Michael Kaess; Joseph Ortiz; Mustafa Mukadam (CoRR, 2023)

ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. - Wei Dong; Yixing Lao; Michael Kaess; Vladlen Koltun (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Sparsh: Self-supervised touch representations for vision-based tactile sensing. - Carolina Higuera; Akash Sharma; Chaithanya Krishna Bodduluri; Taosha Fan; Patrick Lancaster; Mrinal Kalakrishnan; Michael Kaess; Byron Boots; Mike Lambeta; Tingfan Wu; Mustafa Mukadam (CoRL, 2024)

SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars. - Samiran Gode; Akshay Hinduja; Michael Kaess (ICRA, 2024)

Multi-Radar Inertial Odometry for 3D State Estimation using mmWave Imaging Radar. - Jui-Te Huang; Ruoyang Xu; Akshay Hinduja; Michael Kaess (ICRA, 2024)

Asynchronous Distributed Smoothing and Mapping via On-Manifold Consensus ADMM. - Daniel McGann; Kyle Lassak; Michael Kaess (ICRA, 2024)

Learning Covariances for Estimation with Constrained Bilevel Optimization. - Mohamad Qadri; Zachary Manchester; Michael Kaess (ICRA, 2024)

BEVRender: Vision-based Cross-view Vehicle Registration in Off-road GNSS-denied Environment. - Lihong Jin; Wei Dong; Wenshan Wang; Michael Kaess (IROS, 2024)

BEVLoc: Cross-View Localization and Matching via Birds-Eye-View Synthesis. - Christopher Klammer; Michael Kaess (IROS, 2024)

A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces. - Moshe Shienman; Ohad Levy-Or; Michael Kaess; Vadim Indelman (IROS, 2024)

iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping. - Daniel McGann; Michael Kaess (Robotics: Science and Systems, 2024)

AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion. - Mohamad Qadri; Kevin Zhang 003; Akshay Hinduja; Michael Kaess; Adithya Pediredla; Christopher A. Metzler (SIGGRAPH (Conference Paper Track), 2024)

BEVRender: Vision-based Cross-view Vehicle Registration in Off-road GNSS-denied Environment. - Lihong Jin; Wei Dong; Michael Kaess (CoRR, 2024)

LiPO: LiDAR Inertial Odometry for ICP Comparison. - Darwin Mick; Taylor Pool; Madankumar Sathenahally Nagaraju; Michael Kaess; Howie Choset; Matthew J. Travers (CoRR, 2024)

Group-k consistent measurement set maximization via maximum clique over k-uniform hypergraphs for robust multi-robot map merging. - Brendon Forsgren; Michael Kaess; Ram Vasudevan; Timothy W. McLain; Joshua G. Mangelson (Int. J. Robotics Res., 2024)

NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation. - Sudharshan Suresh; Haozhi Qi; Tingfan Wu; Taosha Fan; Luis Pineda; Mike Lambeta; Jitendra Malik; Mrinal Kalakrishnan; Roberto Calandra; Michael Kaess; Joseph Ortiz; Mustafa Mukadam (Sci. Robotics, 2024)

Robust Preintegrated Wheel Odometry for Off-Road Autonomous Ground Vehicles. - Easton R. Potokar; Daniel McGann; Michael Kaess (IEEE Robotics Autom. Lett., 2024)

Your Learned Constraint is Secretly a Backward Reachable Tube. - Mohamad Qadri; Gokul Swamy; Jonathan Francis; Michael Kaess; Andrea Bajcsy (CoRR, 2025)

NormalFlow: Fast, Robust, and Accurate Contact-Based Object 6DoF Pose Tracking With Vision-Based Tactile Sensors. - Hung-Jui Huang; Michael Kaess; Wenzhen Yuan 001 (IEEE Robotics Autom. Lett., 2025)

Acoustic Neural 3D Reconstruction Under Pose Drift. - Tianxiang Lin; Mohamad Qadri; Kevin Zhang 003; Adithya Pediredla; Christopher A. Metzler; Michael Kaess (CoRR, 2025)

Self-supervised perception for tactile skin covered dexterous hands. - Akash Sharma; Carolina Higuera; Chaithanya Krishna Bodduluri; Zixi Liu; Taosha Fan; Tess Hellebrekers; Mike Lambeta; Byron Boots; Michael Kaess; Tingfan Wu; Francois Robert Hogan; Mustafa Mukadam (CoRR, 2025)

Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation. - Carolina Higuera; Akash Sharma; Taosha Fan; Chaithanya Krishna Bodduluri; Byron Boots; Michael Kaess; Mike Lambeta; Tingfan Wu; Zixi Liu; Francois Robert Hogan; Mustafa Mukadam (CoRR, 2025)

A Comprehensive Evaluation of LiDAR Odometry Techniques. - Easton R. Potokar; Michael Kaess (CoRR, 2025)

Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion. - Ziyuan Qu; Omkar Vengurlekar; Mohamad Qadri; Kevin Zhang 003; Michael Kaess; Christopher A. Metzler; Suren Jayasuriya; Adithya Pediredla (IEEE Trans. Pattern Anal. Mach. Intell., 2025)