Vadim Indelman

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 87

Top Venues

CoRR

IROS

ICRA

IEEE Robotics Autom. Lett.

Publications

Tanmoy Kundu, Moshe Rafaeli, Vadim Indelman
Multi-Robot Communication-Aware Cooperative Belief Space Planning with Inconsistent Beliefs: An Action-Consistent Approach. CoRR (2024)
Tom Yotam, Vadim Indelman
Measurement Simplification in $\rho$-POMDP with Performance Guarantees. IEEE Trans. Robotics 40 (2024)
Moshe Shienman, Ohad Levy-Or, Michael Kaess, Vadim Indelman
A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces. CoRR (2024)
Andrey Zhitnikov, Vadim Indelman
Simplified Continuous High-Dimensional Belief Space Planning With Adaptive Probabilistic Belief-Dependent Constraints. IEEE Trans. Robotics 40 (2024)
Andrej Kitanov, Vadim Indelman
Topological belief space planning for active SLAM with pairwise Gaussian potentials and performance guarantees. Int. J. Robotics Res. 43 (1) (2024)
Yaacov Pariente, Vadim Indelman
Simplification of Risk Averse POMDPs with Performance Guarantees. CoRR (2024)
Idan Lev-Yehudi, Moran Barenboim, Vadim Indelman
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice. AAAI (2024)
Andrey Zhitnikov, Vadim Indelman
Simplified Continuous High Dimensional Belief Space Planning with Adaptive Probabilistic Belief-dependent Constraints. CoRR (2023)
Andrey Zhitnikov, Ori Sztyglic, Vadim Indelman
No Compromise in Solution Quality: Speeding Up Belief-dependent Continuous POMDPs via Adaptive Multilevel Simplification. CoRR (2023)
Moran Barenboim, Idan Lev-Yehudi, Vadim Indelman
Data Association Aware POMDP Planning With Hypothesis Pruning Performance Guarantees. IEEE Robotics Autom. Lett. 8 (10) (2023)
Moran Barenboim, Idan Lev-Yehudi, Vadim Indelman
Data Association Aware POMDP Planning with Hypothesis Pruning Performance Guarantees. CoRR (2023)
Julio A. Placed, Jared Strader, Henry Carrillo, Nikolay Atanasov, Vadim Indelman, Luca Carlone, José A. Castellanos
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers. IEEE Trans. Robotics 39 (3) (2023)
Andrey Zhitnikov, Vadim Indelman
Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract). IJCAI (2023)
Roee Mor, Vadim Indelman
Probabilistic Qualitative Localization and Mapping. CoRR (2023)
Moran Barenboim, Vadim Indelman
Online POMDP Planning with Anytime Deterministic Guarantees. CoRR (2023)
Vladimir Tchuiev, Vadim Indelman
Epistemic uncertainty aware semantic localization and mapping for inference and belief space planning. Artif. Intell. 319 (2023)
Moran Barenboim, Moshe Shienman, Vadim Indelman
Monte Carlo Planning in Hybrid Belief POMDPs. IEEE Robotics Autom. Lett. 8 (8) (2023)
Idan Lev-Yehudi, Moran Barenboim, Vadim Indelman
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice. CoRR (2023)
Tom Yotam, Vadim Indelman
Measurement Simplification in ρ-POMDP with Performance Guarantees. CoRR (2023)
Moran Barenboim, Vadim Indelman
Online POMDP Planning with Anytime Deterministic Guarantees. NeurIPS (2023)
Andrey Zhitnikov, Vadim Indelman
Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains. Artif. Intell. 312 (2022)
Moshe Shienman, Vadim Indelman
D2A-BSP: Distilled Data Association Belief Space Planning with Performance Guarantees Under Budget Constraints. CoRR (2022)
Moshe Shienman, Vadim Indelman
Nonmyopic Distilled Data Association Belief Space Planning Under Budget Constraints. ISRR (2022)
Moshe Shienman, Vadim Indelman
D2A-BSP: Distilled Data Association Belief Space Planning with Performance Guarantees Under Budget Constraints. ICRA (2022)
Moshe Shienman, Vadim Indelman
Nonmyopic Distilled Data Association Belief Space Planning Under Budget Constraints. CoRR (2022)
Ohad Shelly, Vadim Indelman
Hypotheses Disambiguation in Retrospective. IEEE Robotics Autom. Lett. 7 (2) (2022)
Moran Barenboim, Moshe Shienman, Vadim Indelman
Monte Carlo Planning in Hybrid Belief POMDPs. CoRR (2022)
Tuvy Lemberg, Vadim Indelman
Hybrid Belief Pruning with Guarantees for Viewpoint-Dependent Semantic SLAM. IROS (2022)
Tuvy Lemberg, Vadim Indelman
Hybrid Belief Pruning with Guarantees for Viewpoint-Dependent Semantic SLAM. CoRR (2022)
Khen Elimelech, Vadim Indelman
Simplified decision making in the belief space using belief sparsification. Int. J. Robotics Res. 41 (5) (2022)
Gilad Rotman, Vadim Indelman
involve-MI: Informative Planning with High-Dimensional Non-Parametric Beliefs. CoRR (2022)
Itai Zilberman, Vadim Indelman
Qualitative Belief Space Planning via Compositions. IROS (2022)
Ori Sztyglic, Vadim Indelman
Speeding up POMDP Planning via Simplification. IROS (2022)
Itai Zilberman, Ehud Rivlin, Vadim Indelman
Incorporating Compositions in Qualitative Approaches. IEEE Robotics Autom. Lett. 7 (2) (2022)
Moran Barenboim, Vadim Indelman
Adaptive Information Belief Space Planning. CoRR (2022)
Julio A. Placed, Jared Strader, Henry Carrillo, Nikolay Atanasov, Vadim Indelman, Luca Carlone, José A. Castellanos
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers. CoRR (2022)
Elad I. Farhi, Vadim Indelman
Bayesian incremental inference update by re-using calculations from belief space planning: a new paradigm. Auton. Robots 46 (7) (2022)
Moran Barenboim, Vadim Indelman
Adaptive Information Belief Space Planning. IJCAI (2022)
Andrey Zhitnikov, Vadim Indelman
Risk Aware Belief-dependent Constrained POMDP Planning. CoRR (2022)
Vladimir Tchuiev, Vadim Indelman
Epistemic Uncertainty Aware Semantic Localization and Mapping for Inference and Belief Space Planning. CoRR (2021)
Elad I. Farhi, Vadim Indelman
iX-BSP: Incremental Belief Space Planning. CoRR (2021)
Khen Elimelech, Vadim Indelman
Efficient Belief Space Planning in High-Dimensional State Spaces using PIVOT: Predictive Incremental Variable Ordering Tactic. CoRR (2021)
Ori Sztyglic, Vadim Indelman
Online POMDP Planning via Simplification. CoRR (2021)
Khen Elimelech, Vadim Indelman
Efficient Modification of the Upper Triangular Square Root Matrix on Variable Reordering. IEEE Robotics Autom. Lett. 6 (2) (2021)
Ori Sztyglic, Andrey Zhitnikov, Vadim Indelman
Simplified Belief-Dependent Reward MCTS Planning with Guaranteed Tree Consistency. CoRR (2021)
Moshe Shienman, Andrej Kitanov, Vadim Indelman
FT-BSP: Focused Topological Belief Space Planning. IEEE Robotics Autom. Lett. 6 (3) (2021)
Andrey Zhitnikov, Vadim Indelman
Probabilistic Loss and its Online Characterization for Simplified Decision Making Under Uncertainty. CoRR (2021)
Omri Asraf, Vadim Indelman
Experience-Based Prediction of Unknown Environments for Enhanced Belief Space Planning. IROS (2020)
Dmitry Kopitkov, Vadim Indelman
Neural Spectrum Alignment: Empirical Study. ICANN (2) (2020)
Roee Mor, Vadim Indelman
Probabilistic Qualitative Localization and Mapping. IROS (2020)
Vladimir Tchuiev, Vadim Indelman
Distributed Consistent Multi-Robot Semantic Localization and Mapping. CoRR (2020)
Vladimir Tchuiev, Vadim Indelman
Distributed Consistent Multi-Robot Semantic Localization and Mapping. IEEE Robotics Autom. Lett. 5 (3) (2020)
Yuri Feldman, Vadim Indelman
Spatially-dependent Bayesian semantic perception under model and localization uncertainty. Auton. Robots 44 (6) (2020)
Dmitry Kopitkov, Vadim Indelman
Neural Spectrum Alignment. CoRR (2019)
Vladimir Tchuiev, Yuri Feldman, Vadim Indelman
Data Association Aware Semantic Mapping and Localization via a Viewpoint-Dependent Classifier Model. IROS (2019)
Khen Elimelech, Vadim Indelman
Efficient Decision Making and Belief Space Planning using Sparse Approximations. CoRR (2019)
Andrej Kitanov, Vadim Indelman
Topological Information-Theoretic Belief Space Planning with Optimality Guarantees. CoRR (2019)
Dmitry Kopitkov, Vadim Indelman
General Probabilistic Surface Optimization and Log Density Estimation. CoRR (2019)
Dmitry Kopitkov, Vadim Indelman
General Purpose Incremental Covariance Update and Efficient Belief Space Planning via Factor-Graph Propagation Action Tree. CoRR (2019)
Khen Elimelech, Vadim Indelman
Introducing PIVOT: Predictive Incremental Variable Ordering Tactic for Efficient Belief Space Planning. ISRR (2019)
Elad I. Farhi, Vadim Indelman
iX-BSP: Belief Space Planning through Incremental Expectation. ICRA (2019)
Dmitry Kopitkov, Vadim Indelman
General-purpose incremental covariance update and efficient belief space planning via a factor-graph propagation action tree. Int. J. Robotics Res. 38 (14) (2019)
Elad I. Farhi, Vadim Indelman
Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm. CoRR (2019)
Tal Regev, Vadim Indelman
Decentralized multi-robot belief space planning in unknown environments via identification and efficient re-evaluation of impacted paths. Auton. Robots 42 (4) (2018)
Vladimir Ovechkin, Vadim Indelman
BAFS: Bundle Adjustment With Feature Scale Constraints for Enhanced Estimation Accuracy. IEEE Robotics Autom. Lett. 3 (2) (2018)
Dmitry Kopitkov, Vadim Indelman
Bayesian Information Recovery from CNN for Probabilistic Inference. IROS (2018)
Yuri Feldman, Vadim Indelman
Bayesian Viewpoint-Dependent Robust Classification Under Model and Localization Uncertainty. ICRA (2018)
Vladimir Tchuiev, Vadim Indelman
Inference Over Distribution of Posterior Class Probabilities for Reliable Bayesian Classification and Object-Level Perception. IEEE Robotics Autom. Lett. 3 (4) (2018)
Dmitry Kopitkov, Vadim Indelman
Deep PDF: Probabilistic Surface Optimization and Density Estimation. CoRR (2018)
Andrej Kitanov, Vadim Indelman
Topological Multi-Robot Belief Space Planning in Unknown Environments. ICRA (2018)
Shashank Pathak, Antony Thomas, Vadim Indelman
A unified framework for data association aware robust belief space planning and perception. Int. J. Robotics Res. 37 (2-3) (2018)
Vadim Indelman
Cooperative multi-robot belief space planning for autonomous navigation in unknown environments. Auton. Robots 42 (2) (2018)
Dmitry Kopitkov, Vadim Indelman
Computationally Efficient Belief Space Planning via Augmented Matrix Determinant Lemma and Reuse of Calculations. IEEE Robotics Autom. Lett. 2 (2) (2017)
Xinyan Yan, Vadim Indelman, Byron Boots
Incremental sparse GP regression for continuous-time trajectory estimation and mapping. Robotics Auton. Syst. 87 (2017)
Khen Elimelech, Vadim Indelman
Consistent sparsification for efficient decision making under uncertainty in high dimensional state spaces. ICRA (2017)
Khen Elimelech, Vadim Indelman
Fast Action Elimination for Efficient Decision Making and Belief Space Planning Using Bounded Approximations. ISRR (2017)
Shashank Pathak, Antony Thomas, Vadim Indelman
Nonmyopic data association aware belief space planning for robust active perception. ICRA (2017)
Khen Elimelech, Vadim Indelman
Scalable sparsification for efficient decision making under uncertainty in high dimensional state spaces. IROS (2017)
Yair Ben Elisha, Vadim Indelman
Active online visual-inertial navigation and sensor calibration via belief space planning and factor graph based incremental smoothing. IROS (2017)
Elad I. Farhi, Vadim Indelman
Towards efficient inference update through planning via JIP - Joint inference and belief space planning. ICRA (2017)
Dmitry Kopitkov, Vadim Indelman
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. 36 (10) (2017)
Shashank Pathak, Sadegh Esmaeil Zadeh Soudjani, Vadim Indelman, Alessandro Abate
Formal and Data Association Aware Robust Belief Space Planning. STAIRS (2016)
Tal Regev, Vadim Indelman
Multi-robot decentralized belief space planning in unknown environments via efficient re-evaluation of impacted paths. IROS (2016)
Shashank Pathak, Antony Thomas, Asaf Feniger, Vadim Indelman
Robust Active Perception via Data-association aware Belief Space planning. CoRR (2016)
Vadim Indelman
No Correlations Involved: Decision Making Under Uncertainty in a Conservative Sparse Information Space. IEEE Robotics Autom. Lett. 1 (1) (2016)
Dmitry Kopitkov, Vadim Indelman
Computationally efficient decision making under uncertainty in high-dimensional state spaces. IROS (2016)
Shashank Pathak, Antony Thomas, Asaf Feniger, Vadim Indelman
DA-BSP: Towards Data Association Aware Belief Space Planning for Robust Active Perception. ECAI (2016)
Vadim Indelman
Towards multi-robot active collaborative state estimation via belief space planning. IROS (2015)
Jing Dong, Erik Nelson, Vadim Indelman, Nathan Michael, Frank Dellaert
Distributed real-time cooperative localization and mapping using an uncertainty-aware expectation maximization approach. ICRA (2015)
Vadim Indelman, Richard Roberts, Frank Dellaert
Incremental light bundle adjustment for structure from motion and robotics. Robotics Auton. Syst. 70 (2015)
Vadim Indelman, Luca Carlone, Frank Dellaert
Planning in the continuous domain: A generalized belief space approach for autonomous navigation in unknown environments. Int. J. Robotics Res. 34 (7) (2015)
Siddharth Choudhary, Vadim Indelman, Henrik I. Christensen, Frank Dellaert
Information-based reduced landmark SLAM. ICRA (2015)
Vadim Indelman
Towards information-theoretic decision making in a conservative information space. ACC (2015)
Vadim Indelman
Towards Cooperative Multi-robot Belief Space Planning in Unknown Environments. ISRR (1) (2015)
Xinyan Yan, Vadim Indelman, Byron Boots
Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping. CoRR (2015)
Xinyan Yan, Vadim Indelman, Byron Boots
Incremental Sparse GP Regression for Continuous-Time Trajectory Estimation and Mapping. ISRR (2) (2015)
Stephen Williams, Vadim Indelman, Michael Kaess, Richard Roberts, John J. Leonard, Frank Dellaert
Concurrent filtering and smoothing: A parallel architecture for real-time navigation and full smoothing. Int. J. Robotics Res. 33 (12) (2014)
Vadim Indelman, Erik Nelson, Nathan Michael, Frank Dellaert
Multi-robot pose graph localization and data association from unknown initial relative poses via expectation maximization. ICRA (2014)
Vadim Indelman, Luca Carlone, Frank Dellaert
Planning under uncertainty in the continuous domain: A generalized belief space approach. ICRA (2014)
Luca Carlone, Zsolt Kira, Chris Beall, Vadim Indelman, Frank Dellaert
Eliminating conditionally independent sets in factor graphs: A unifying perspective based on smart factors. ICRA (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vadim Indelman