Vadim Indelman

Orcid: 0000-0002-1863-3442

According to our database1, Vadim Indelman authored at least 98 papers between 2011 and 2024.

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Bibliography

2024
Topological belief space planning for active SLAM with pairwise Gaussian potentials and performance guarantees.
Int. J. Robotics Res., January, 2024

Simplified Continuous High-Dimensional Belief Space Planning With Adaptive Probabilistic Belief-Dependent Constraints.
IEEE Trans. Robotics, 2024

Measurement Simplification in $\rho$-POMDP with Performance Guarantees.
IEEE Trans. Robotics, 2024

Simplified POMDP Planning with an Alternative Observation Space and Formal Performance Guarantees.
CoRR, 2024

Simplification of Risk Averse POMDPs with Performance Guarantees.
CoRR, 2024

A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces.
CoRR, 2024

Multi-Robot Communication-Aware Cooperative Belief Space Planning with Inconsistent Beliefs: An Action-Consistent Approach.
CoRR, 2024

Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Data Association Aware POMDP Planning With Hypothesis Pruning Performance Guarantees.
IEEE Robotics Autom. Lett., October, 2023

A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers.
IEEE Trans. Robotics, June, 2023

Epistemic uncertainty aware semantic localization and mapping for inference and belief space planning.
Artif. Intell., June, 2023

Monte Carlo Planning in Hybrid Belief POMDPs.
IEEE Robotics Autom. Lett., 2023

No Compromise in Solution Quality: Speeding Up Belief-dependent Continuous POMDPs via Adaptive Multilevel Simplification.
CoRR, 2023

Measurement Simplification in ρ-POMDP with Performance Guarantees.
CoRR, 2023

Online POMDP Planning with Anytime Deterministic Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Incorporating Compositions in Qualitative Approaches.
IEEE Robotics Autom. Lett., 2022

Hypotheses Disambiguation in Retrospective.
IEEE Robotics Autom. Lett., 2022

Simplified decision making in the belief space using belief sparsification.
Int. J. Robotics Res., 2022

involve-MI: Informative Planning with High-Dimensional Non-Parametric Beliefs.
CoRR, 2022

Risk Aware Belief-dependent Constrained POMDP Planning.
CoRR, 2022

Bayesian incremental inference update by re-using calculations from belief space planning: a new paradigm.
Auton. Robots, 2022

Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains.
Artif. Intell., 2022

Nonmyopic Distilled Data Association Belief Space Planning Under Budget Constraints.
Proceedings of the Robotics Research, 2022

Qualitative Belief Space Planning via Compositions.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Speeding up POMDP Planning via Simplification.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Hybrid Belief Pruning with Guarantees for Viewpoint-Dependent Semantic SLAM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Adaptive Information Belief Space Planning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

D2A-BSP: Distilled Data Association Belief Space Planning with Performance Guarantees Under Budget Constraints.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
FT-BSP: Focused Topological Belief Space Planning.
IEEE Robotics Autom. Lett., 2021

Efficient Modification of the Upper Triangular Square Root Matrix on Variable Reordering.
IEEE Robotics Autom. Lett., 2021

Efficient Belief Space Planning in High-Dimensional State Spaces using PIVOT: Predictive Incremental Variable Ordering Tactic.
CoRR, 2021

Simplified Belief-Dependent Reward MCTS Planning with Guaranteed Tree Consistency.
CoRR, 2021

Probabilistic Loss and its Online Characterization for Simplified Decision Making Under Uncertainty.
CoRR, 2021

Online POMDP Planning via Simplification.
CoRR, 2021

iX-BSP: Incremental Belief Space Planning.
CoRR, 2021

2020
Distributed Consistent Multi-Robot Semantic Localization and Mapping.
IEEE Robotics Autom. Lett., 2020

Spatially-dependent Bayesian semantic perception under model and localization uncertainty.
Auton. Robots, 2020

Probabilistic Qualitative Localization and Mapping.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Experience-Based Prediction of Unknown Environments for Enhanced Belief Space Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Neural Spectrum Alignment: Empirical Study.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
General-purpose incremental covariance update and efficient belief space planning via a factor-graph propagation action tree.
Int. J. Robotics Res., 2019

Neural Spectrum Alignment.
CoRR, 2019

Efficient Decision Making and Belief Space Planning using Sparse Approximations.
CoRR, 2019

General Probabilistic Surface Optimization and Log Density Estimation.
CoRR, 2019

Topological Information-Theoretic Belief Space Planning with Optimality Guarantees.
CoRR, 2019

Introducing PIVOT: Predictive Incremental Variable Ordering Tactic for Efficient Belief Space Planning.
Proceedings of the Robotics Research, 2019

Data Association Aware Semantic Mapping and Localization via a Viewpoint-Dependent Classifier Model.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

iX-BSP: Belief Space Planning through Incremental Expectation.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Inference Over Distribution of Posterior Class Probabilities for Reliable Bayesian Classification and Object-Level Perception.
IEEE Robotics Autom. Lett., 2018

BAFS: Bundle Adjustment With Feature Scale Constraints for Enhanced Estimation Accuracy.
IEEE Robotics Autom. Lett., 2018

A unified framework for data association aware robust belief space planning and perception.
Int. J. Robotics Res., 2018

Deep PDF: Probabilistic Surface Optimization and Density Estimation.
CoRR, 2018

Decentralized multi-robot belief space planning in unknown environments via identification and efficient re-evaluation of impacted paths.
Auton. Robots, 2018

Cooperative multi-robot belief space planning for autonomous navigation in unknown environments.
Auton. Robots, 2018

Bayesian Information Recovery from CNN for Probabilistic Inference.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Topological Multi-Robot Belief Space Planning in Unknown Environments.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Bayesian Viewpoint-Dependent Robust Classification Under Model and Localization Uncertainty.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Incremental sparse GP regression for continuous-time trajectory estimation and mapping.
Robotics Auton. Syst., 2017

Computationally Efficient Belief Space Planning via Augmented Matrix Determinant Lemma and Reuse of Calculations.
IEEE Robotics Autom. Lett., 2017

No belief propagation required: Belief space planning in high-dimensional state spaces via factor graphs, the matrix determinant lemma, and re-use of calculation.
Int. J. Robotics Res., 2017

Fast Action Elimination for Efficient Decision Making and Belief Space Planning Using Bounded Approximations.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Active online visual-inertial navigation and sensor calibration via belief space planning and factor graph based incremental smoothing.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Scalable sparsification for efficient decision making under uncertainty in high dimensional state spaces.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Nonmyopic data association aware belief space planning for robust active perception.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Towards efficient inference update through planning via JIP - Joint inference and belief space planning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Consistent sparsification for efficient decision making under uncertainty in high dimensional state spaces.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
No Correlations Involved: Decision Making Under Uncertainty in a Conservative Sparse Information Space.
IEEE Robotics Autom. Lett., 2016

Robust Active Perception via Data-association aware Belief Space planning.
CoRR, 2016

Formal and Data Association Aware Robust Belief Space Planning.
Proceedings of the STAIRS 2016, 2016

Multi-robot decentralized belief space planning in unknown environments via efficient re-evaluation of impacted paths.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Computationally efficient decision making under uncertainty in high-dimensional state spaces.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

DA-BSP: Towards Data Association Aware Belief Space Planning for Robust Active Perception.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Incremental light bundle adjustment for structure from motion and robotics.
Robotics Auton. Syst., 2015

Planning in the continuous domain: A generalized belief space approach for autonomous navigation in unknown environments.
Int. J. Robotics Res., 2015

Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping.
CoRR, 2015

Towards Cooperative Multi-robot Belief Space Planning in Unknown Environments.
Proceedings of the Robotics Research, 2015

Towards multi-robot active collaborative state estimation via belief space planning.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Distributed real-time cooperative localization and mapping using an uncertainty-aware expectation maximization approach.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Information-based reduced landmark SLAM.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Towards information-theoretic decision making in a conservative information space.
Proceedings of the American Control Conference, 2015

2014
Concurrent filtering and smoothing: A parallel architecture for real-time navigation and full smoothing.
Int. J. Robotics Res., 2014

An Experimental Study of Robust Distributed Multi-robot Data Association from Arbitrary Poses.
Proceedings of the Experimental Robotics, 2014

Multi-robot pose graph localization and data association from unknown initial relative poses via expectation maximization.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Planning under uncertainty in the continuous domain: A generalized belief space approach.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Eliminating conditionally independent sets in factor graphs: A unifying perspective based on smart factors.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Information fusion in navigation systems via factor graph based incremental smoothing.
Robotics Auton. Syst., 2013

Towards Planning in Generalized Belief Space.
Proceedings of the Robotics Research, 2013

Incremental light bundle adjustment for robotics navigation.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

DDF-SAM 2.0: Consistent distributed smoothing and mapping.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012
Real-Time Vision-Aided Localization and Navigation Based on Three-View Geometry.
IEEE Trans. Aerosp. Electron. Syst., 2012

Distributed vision-aided cooperative localization and navigation based on three-view geometry.
Robotics Auton. Syst., 2012

Graph-based distributed cooperative navigation for a general multi-robot measurement model.
Int. J. Robotics Res., 2012

Consistent decentralized graphical SLAM with anti-factor down-dating.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2012

Concurrent filtering and smoothing.
Proceedings of the 15th International Conference on Information Fusion, 2012

Factor graph based incremental smoothing in inertial navigation systems.
Proceedings of the 15th International Conference on Information Fusion, 2012

Incremental Light Bundle Adjustment.
Proceedings of the British Machine Vision Conference, 2012

2011
Graph-based distributed cooperative navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011


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