Kevin J. Doherty

Orcid: 0000-0002-8924-2502

Affiliations:
  • Massachusetts Institute of Technology (MIT), Cambridge, MA, USA


According to our database1, Kevin J. Doherty authored at least 20 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MAC: Maximizing Algebraic Connectivity for Graph Sparsification.
CoRR, 2024

2023
SCORE: A Second-Order Conic Initialization for Range-Aided SLAM.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Improving obstacle boundary representations in predictive occupancy mapping.
Robotics Auton. Syst., 2022

Discrete-Continuous Smoothing and Mapping.
IEEE Robotics Autom. Lett., 2022

SLAM-Supported Self-Training for 6D Object Pose Estimation.
CoRR, 2022

SLAM-Supported Self-Training for 6D Object Pose Estimation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Spectral Measurement Sparsification for Pose-Graph SLAM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Performance Guarantees for Spectral Initialization in Rotation Averaging and Pose-Graph SLAM.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Advances in Inference and Representation for Simultaneous Localization and Mapping.
Annu. Rev. Control. Robotics Auton. Syst., 2021

Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Variational Filtering with Copula Models for SLAM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Probabilistic Data Association via Mixture Models for Robust Semantic SLAM.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Learning-Aided 3-D Occupancy Mapping With Bayesian Generalized Kernel Inference.
IEEE Trans. Robotics, 2019

Multimodal Semantic SLAM with Probabilistic Data Association.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Approximate Distributed Spatiotemporal Topic Models for Multi-Robot Terrain Characterization.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Bayesian Generalized Kernel Inference for Terrain Traversability Mapping.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Bayesian generalized kernel inference for occupancy map prediction.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Probabilistic map fusion for fast, incremental occupancy mapping with 3D Hilbert maps.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Inference-Enabled Information-Theoretic Exploration of Continuous Action Spaces.
Proceedings of the Robotics Research, 2015


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