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Vadim Indelman
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2020 – today
- 2024
- [j33]Andrej Kitanov
, Vadim Indelman:
Topological belief space planning for active SLAM with pairwise Gaussian potentials and performance guarantees. Int. J. Robotics Res. 43(1): 69-97 (2024) - [j32]Andrey Zhitnikov
Simplified Continuous High-Dimensional Belief Space Planning With Adaptive Probabilistic Belief-Dependent Constraints. IEEE Trans. Robotics 40: 1684-1705 (2024) - [j31]Tom Yotam
Measurement Simplification in $\rho$-POMDP with Performance Guarantees. IEEE Trans. Robotics 40: 3537-3550 (2024) - [c46]Idan Lev-Yehudi
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice. AAAI 2024: 20176-20184 - [i35]Tanmoy Kundu
Multi-Robot Communication-Aware Cooperative Belief Space Planning with Inconsistent Beliefs: An Action-Consistent Approach. CoRR abs/2403.05962 (2024) - [i34]Moshe Shienman, Ohad Levy-Or, Michael Kaess, Vadim Indelman:
A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces. CoRR abs/2405.16453 (2024) - [i33]Yaacov Pariente, Vadim Indelman:
Simplification of Risk Averse POMDPs with Performance Guarantees. CoRR abs/2406.03000 (2024) - [i32]Da Kong, Vadim Indelman:
Simplified POMDP Planning with an Alternative Observation Space and Formal Performance Guarantees. CoRR abs/2410.07630 (2024) - 2023
- [j30]Vladimir Tchuiev
Epistemic uncertainty aware semantic localization and mapping for inference and belief space planning. Artif. Intell. 319: 103903 (2023) - [j29]Moran Barenboim
Monte Carlo Planning in Hybrid Belief POMDPs. IEEE Robotics Autom. Lett. 8(8): 4410-4417 (2023) - [j28]Moran Barenboim
Data Association Aware POMDP Planning With Hypothesis Pruning Performance Guarantees. IEEE Robotics Autom. Lett. 8(10): 6827-6834 (2023) - [j27]Julio A. Placed
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers. IEEE Trans. Robotics 39(3): 1686-1705 (2023) - [c45]Andrey Zhitnikov, Vadim Indelman:
Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract). IJCAI 2023: 7001-7005 - [c44]Moran Barenboim, Vadim Indelman:
Online POMDP Planning with Anytime Deterministic Guarantees. NeurIPS 2023 - [i31]Andrey Zhitnikov, Vadim Indelman:
Simplified Continuous High Dimensional Belief Space Planning with Adaptive Probabilistic Belief-dependent Constraints. CoRR abs/2302.06697 (2023) - [i30]Roee Mor, Vadim Indelman:
Probabilistic Qualitative Localization and Mapping. CoRR abs/2302.08735 (2023) - [i29]Moran Barenboim, Idan Lev-Yehudi
Data Association Aware POMDP Planning with Hypothesis Pruning Performance Guarantees. CoRR abs/2303.02139 (2023) - [i28]Tom Yotam, Vadim Indelman:
Measurement Simplification in ρ-POMDP with Performance Guarantees. CoRR abs/2309.10701 (2023) - [i27]Moran Barenboim, Vadim Indelman:
Online POMDP Planning with Anytime Deterministic Guarantees. CoRR abs/2310.01791 (2023) - [i26]Andrey Zhitnikov, Ori Sztyglic, Vadim Indelman:
No Compromise in Solution Quality: Speeding Up Belief-dependent Continuous POMDPs via Adaptive Multilevel Simplification. CoRR abs/2310.10274 (2023) - [i25]Idan Lev-Yehudi
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice. CoRR abs/2311.07745 (2023) - 2022
- [j26]Andrey Zhitnikov
Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains. Artif. Intell. 312: 103775 (2022) - [j25]Elad I. Farhi
Bayesian incremental inference update by re-using calculations from belief space planning: a new paradigm. Auton. Robots 46(7): 783-816 (2022) - [j24]Khen Elimelech
Simplified decision making in the belief space using belief sparsification. Int. J. Robotics Res. 41(5): 470-496 (2022) - [j23]Ohad Shelly
Hypotheses Disambiguation in Retrospective. IEEE Robotics Autom. Lett. 7(2): 2321-2328 (2022) - [j22]Itai Zilberman
Incorporating Compositions in Qualitative Approaches. IEEE Robotics Autom. Lett. 7(2): 2660-2667 (2022) - [c43]Moshe Shienman, Vadim Indelman:
D2A-BSP: Distilled Data Association Belief Space Planning with Performance Guarantees Under Budget Constraints. ICRA 2022: 11058-11065 - [c42]Moran Barenboim, Vadim Indelman:
Adaptive Information Belief Space Planning. IJCAI 2022: 4588-4596 - [c41]Itai Zilberman, Vadim Indelman:
Qualitative Belief Space Planning via Compositions. IROS 2022: 5099-5106 - [c40]Ori Sztyglic, Vadim Indelman:
Speeding up POMDP Planning via Simplification. IROS 2022: 7174-7181 - [c39]Tuvy Lemberg, Vadim Indelman:
Hybrid Belief Pruning with Guarantees for Viewpoint-Dependent Semantic SLAM. IROS 2022: 11440-11447 - [c38]Moshe Shienman, Vadim Indelman:
Nonmyopic Distilled Data Association Belief Space Planning Under Budget Constraints. ISRR 2022: 102-118 - [i24]Moran Barenboim, Vadim Indelman:
Adaptive Information Belief Space Planning. CoRR abs/2201.05673 (2022) - [i23]Moshe Shienman, Vadim Indelman:
D2A-BSP: Distilled Data Association Belief Space Planning with Performance Guarantees Under Budget Constraints. CoRR abs/2202.04954 (2022) - [i22]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 abs/2207.00254 (2022) - [i21]Moshe Shienman, Vadim Indelman:
Nonmyopic Distilled Data Association Belief Space Planning Under Budget Constraints. CoRR abs/2207.08096 (2022) - [i20]Tuvy Lemberg, Vadim Indelman:
Hybrid Belief Pruning with Guarantees for Viewpoint-Dependent Semantic SLAM. CoRR abs/2207.09103 (2022) - [i19]Andrey Zhitnikov, Vadim Indelman:
Risk Aware Belief-dependent Constrained POMDP Planning. CoRR abs/2209.02679 (2022) - [i18]Gilad Rotman, Vadim Indelman:
involve-MI: Informative Planning with High-Dimensional Non-Parametric Beliefs. CoRR abs/2209.11591 (2022) - [i17]Moran Barenboim, Moshe Shienman, Vadim Indelman:
Monte Carlo Planning in Hybrid Belief POMDPs. CoRR abs/2211.07735 (2022) - 2021
- [j21]Khen Elimelech
Efficient Modification of the Upper Triangular Square Root Matrix on Variable Reordering. IEEE Robotics Autom. Lett. 6(2): 675-682 (2021) - [j20]Moshe Shienman
FT-BSP: Focused Topological Belief Space Planning. IEEE Robotics Autom. Lett. 6(3): 4744-4751 (2021) - [i16]Elad I. Farhi, Vadim Indelman:
iX-BSP: Incremental Belief Space Planning. CoRR abs/2102.09539 (2021) - [i15]Ori Sztyglic, Vadim Indelman:
Online POMDP Planning via Simplification. CoRR abs/2105.05296 (2021) - [i14]Andrey Zhitnikov, Vadim Indelman:
Probabilistic Loss and its Online Characterization for Simplified Decision Making Under Uncertainty. CoRR abs/2105.05789 (2021) - [i13]Vladimir Tchuiev, Vadim Indelman:
Epistemic Uncertainty Aware Semantic Localization and Mapping for Inference and Belief Space Planning. CoRR abs/2105.12359 (2021) - [i12]Ori Sztyglic, Andrey Zhitnikov, Vadim Indelman:
Simplified Belief-Dependent Reward MCTS Planning with Guaranteed Tree Consistency. CoRR abs/2105.14239 (2021) - [i11]Khen Elimelech, Vadim Indelman:
Efficient Belief Space Planning in High-Dimensional State Spaces using PIVOT: Predictive Incremental Variable Ordering Tactic. CoRR abs/2112.14428 (2021) - 2020
- [j19]Yuri Feldman
Spatially-dependent Bayesian semantic perception under model and localization uncertainty. Auton. Robots 44(6): 1091-1119 (2020) - [j18]Vladimir Tchuiev
Distributed Consistent Multi-Robot Semantic Localization and Mapping. IEEE Robotics Autom. Lett. 5(3): 4649-4656 (2020) - [c37]Dmitry Kopitkov
Neural Spectrum Alignment: Empirical Study. ICANN (2) 2020: 168-179 - [c36]Roee Mor, Vadim Indelman:
Probabilistic Qualitative Localization and Mapping. IROS 2020: 5009-5016 - [c35]Omri Asraf, Vadim Indelman:
Experience-Based Prediction of Unknown Environments for Enhanced Belief Space Planning. IROS 2020: 6781-6788 - [i10]Vladimir Tchuiev, Vadim Indelman:
Distributed Consistent Multi-Robot Semantic Localization and Mapping. CoRR abs/2007.02611 (2020)
2010 – 2019
- 2019
- [j17]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) - [c34]Elad I. Farhi, Vadim Indelman:
iX-BSP: Belief Space Planning through Incremental Expectation. ICRA 2019: 7180-7186 - [c33]Vladimir Tchuiev, Yuri Feldman, Vadim Indelman:
Data Association Aware Semantic Mapping and Localization via a Viewpoint-Dependent Classifier Model. IROS 2019: 7742-7749 - [c32]Khen Elimelech, Vadim Indelman:
Introducing PIVOT: Predictive Incremental Variable Ordering Tactic for Efficient Belief Space Planning. ISRR 2019: 85-101 - [i9]Andrej Kitanov, Vadim Indelman:
Topological Information-Theoretic Belief Space Planning with Optimality Guarantees. CoRR abs/1903.00927 (2019) - [i8]Dmitry Kopitkov, Vadim Indelman:
General Probabilistic Surface Optimization and Log Density Estimation. CoRR abs/1903.10567 (2019) - [i7]Dmitry Kopitkov, Vadim Indelman:
General Purpose Incremental Covariance Update and Efficient Belief Space Planning via Factor-Graph Propagation Action Tree. CoRR abs/1906.02249 (2019) - [i6]Elad I. Farhi, Vadim Indelman:
Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm. CoRR abs/1908.02002 (2019) - [i5]Khen Elimelech, Vadim Indelman:
Efficient Decision Making and Belief Space Planning using Sparse Approximations. CoRR abs/1909.00885 (2019) - [i4]Dmitry Kopitkov, Vadim Indelman:
Neural Spectrum Alignment. CoRR abs/1910.08720 (2019) - 2018
- [j16]Vadim Indelman:
Cooperative multi-robot belief space planning for autonomous navigation in unknown environments. Auton. Robots 42(2): 353-373 (2018) - [j15]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): 691-713 (2018) - [j14]Shashank Pathak
A unified framework for data association aware robust belief space planning and perception. Int. J. Robotics Res. 37(2-3): 287-315 (2018) - [j13]Vladimir Ovechkin, Vadim Indelman
BAFS: Bundle Adjustment With Feature Scale Constraints for Enhanced Estimation Accuracy. IEEE Robotics Autom. Lett. 3(2): 804-810 (2018) - [j12]Vladimir Tchuiev
Inference Over Distribution of Posterior Class Probabilities for Reliable Bayesian Classification and Object-Level Perception. IEEE Robotics Autom. Lett. 3(4): 4329-4336 (2018) - [c31]Yuri Feldman, Vadim Indelman:
Bayesian Viewpoint-Dependent Robust Classification Under Model and Localization Uncertainty. ICRA 2018: 1-9 - [c30]Andrej Kitanov, Vadim Indelman:
Topological Multi-Robot Belief Space Planning in Unknown Environments. ICRA 2018: 1-7 - [c29]Dmitry Kopitkov, Vadim Indelman:
Bayesian Information Recovery from CNN for Probabilistic Inference. IROS 2018: 7795-7802 - [i3]Dmitry Kopitkov, Vadim Indelman:
Deep PDF: Probabilistic Surface Optimization and Density Estimation. CoRR abs/1807.10728 (2018) - 2017
- [j11]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): 1088-1130 (2017) - [j10]Dmitry Kopitkov, Vadim Indelman:
Computationally Efficient Belief Space Planning via Augmented Matrix Determinant Lemma and Reuse of Calculations. IEEE Robotics Autom. Lett. 2(2): 506-513 (2017) - [j9]Xinyan Yan, Vadim Indelman
Incremental sparse GP regression for continuous-time trajectory estimation and mapping. Robotics Auton. Syst. 87: 120-132 (2017) - [c28]Khen Elimelech, Vadim Indelman:
Consistent sparsification for efficient decision making under uncertainty in high dimensional state spaces. ICRA 2017: 3786-3791 - [c27]Elad I. Farhi, Vadim Indelman:
Towards efficient inference update through planning via JIP - Joint inference and belief space planning. ICRA 2017: 4479-4486 - [c26]Shashank Pathak, Antony Thomas
Nonmyopic data association aware belief space planning for robust active perception. ICRA 2017: 4487-4494 - [c25]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: 2616-2622 - [c24]Khen Elimelech, Vadim Indelman:
Scalable sparsification for efficient decision making under uncertainty in high dimensional state spaces. IROS 2017: 5668-5673 - [c23]Khen Elimelech, Vadim Indelman:
Fast Action Elimination for Efficient Decision Making and Belief Space Planning Using Bounded Approximations. ISRR 2017: 843-858 - 2016
- [j8]Vadim Indelman:
No Correlations Involved: Decision Making Under Uncertainty in a Conservative Sparse Information Space. IEEE Robotics Autom. Lett. 1(1): 407-414 (2016) - [c22]Shashank Pathak, Antony Thomas
DA-BSP: Towards Data Association Aware Belief Space Planning for Robust Active Perception. ECAI 2016: 1610-1611 - [c21]Dmitry Kopitkov, Vadim Indelman:
Computationally efficient decision making under uncertainty in high-dimensional state spaces. IROS 2016: 1793-1800 - [c20]Tal Regev, Vadim Indelman:
Multi-robot decentralized belief space planning in unknown environments via efficient re-evaluation of impacted paths. IROS 2016: 5591-5598 - [c19]Shashank Pathak, Sadegh Esmaeil Zadeh Soudjani
Formal and Data Association Aware Robust Belief Space Planning. STAIRS 2016: 87-98 - [i2]Shashank Pathak, Antony Thomas, Asaf Feniger, Vadim Indelman:
Robust Active Perception via Data-association aware Belief Space planning. CoRR abs/1606.05124 (2016) - 2015
- [j7]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): 849-882 (2015) - [j6]Vadim Indelman, Richard Roberts, Frank Dellaert:
Incremental light bundle adjustment for structure from motion and robotics. Robotics Auton. Syst. 70: 63-82 (2015) - [c18]Vadim Indelman:
Towards information-theoretic decision making in a conservative information space. ACC 2015: 2420-2426 - [c17]Siddharth Choudhary, Vadim Indelman, Henrik I. Christensen
Information-based reduced landmark SLAM. ICRA 2015: 4620-4627 - [c16]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: 5807-5814 - [c15]Vadim Indelman:
Towards multi-robot active collaborative state estimation via belief space planning. IROS 2015: 4620-4626 - [c14]Vadim Indelman:
Towards Cooperative Multi-robot Belief Space Planning in Unknown Environments. ISRR (1) 2015: 441-457 - [c13]Xinyan Yan, Vadim Indelman, Byron Boots:
Incremental Sparse GP Regression for Continuous-Time Trajectory Estimation and Mapping. ISRR (2) 2015: 545-561 - [i1]Xinyan Yan, Vadim Indelman, Byron Boots:
Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping. CoRR abs/1504.02696 (2015) - 2014
- [j5]Stephen Williams, Vadim Indelman, Michael Kaess
Concurrent filtering and smoothing: A parallel architecture for real-time navigation and full smoothing. Int. J. Robotics Res. 33(12): 1544-1568 (2014) - [c12]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: 593-600 - [c11]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: 4290-4297 - [c10]Vadim Indelman, Luca Carlone, Frank Dellaert:
Planning under uncertainty in the continuous domain: A generalized belief space approach. ICRA 2014: 6763-6770 - [c9]Erik Nelson, Vadim Indelman, Nathan Michael, Frank Dellaert:
An Experimental Study of Robust Distributed Multi-robot Data Association from Arbitrary Poses. ISER 2014: 323-337 - 2013
- [j4]Vadim Indelman, Stephen Williams, Michael Kaess
Information fusion in navigation systems via factor graph based incremental smoothing. Robotics Auton. Syst. 61(8): 721-738 (2013) - [c8]Alexander Cunningham, Vadim Indelman, Frank Dellaert:
DDF-SAM 2.0: Consistent distributed smoothing and mapping. ICRA 2013: 5220-5227 - [c7]Vadim Indelman, Andrew Melim, Frank Dellaert:
Incremental light bundle adjustment for robotics navigation. IROS 2013: 1952-1959 - [c6]Vadim Indelman, Luca Carlone, Frank Dellaert:
Towards Planning in Generalized Belief Space. ISRR 2013: 593-609 - 2012
- [j3]Vadim Indelman, Pini Gurfil
Graph-based distributed cooperative navigation for a general multi-robot measurement model. Int. J. Robotics Res. 31(9): 1057-1080 (2012) - [j2]Vadim Indelman, Pini Gurfil
Distributed vision-aided cooperative localization and navigation based on three-view geometry. Robotics Auton. Syst. 60(6): 822-840 (2012) - [j1]Vadim Indelman, Pini Gurfil
Real-Time Vision-Aided Localization and Navigation Based on Three-View Geometry. IEEE Trans. Aerosp. Electron. Syst. 48(3): 2239-2259 (2012) - [c5]Vadim Indelman, Richard Roberts, Chris Beall, Frank Dellaert:
Incremental Light Bundle Adjustment. BMVC 2012: 1-11 - [c4]Michael Kaess, Stephen Williams, Vadim Indelman, Richard Roberts, John J. Leonard, Frank Dellaert:
Concurrent filtering and smoothing. FUSION 2012: 1300-1307 - [c3]Vadim Indelman, Stephen Williams, Michael Kaess, Frank Dellaert:
Factor graph based incremental smoothing in inertial navigation systems. FUSION 2012: 2154-2161 - [c2]Alexander Cunningham, Vadim Indelman, Frank Dellaert:
Consistent decentralized graphical SLAM with anti-factor down-dating. SSRR 2012: 1-2 - 2011
- [c1]Vadim Indelman, Pini Gurfil
Graph-based distributed cooperative navigation. ICRA 2011: 4786-4791
Coauthor Index
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