| 2026 | AAAI | Online Robust Planning Under Model Uncertainty: A Sample-Based Approach. | Tamir Shazman, Idan Lev-Yehudi, Ron Benchetrit, Vadim Indelman |
| 2024 | AAAI | Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice. | Idan Lev-Yehudi, Moran Barenboim, Vadim Indelman |
| 2024 | IROS | Multi-Robot Communication-Aware Cooperative Belief Space Planning with Inconsistent Beliefs: An Action-Consistent Approach. | Tanmoy Kundu, Moshe Rafaeli, Vadim Indelman |
| 2024 | IROS | A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces. | Moshe Shienman, Ohad Levy-Or, Michael Kaess, Vadim Indelman |
| 2023 | IJCAI | Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract). | Andrey Zhitnikov, Vadim Indelman |
| 2022 | IJCAI | Adaptive Information Belief Space Planning. | Moran Barenboim, Vadim Indelman |
| 2022 | IROS | Hybrid Belief Pruning with Guarantees for Viewpoint-Dependent Semantic SLAM. | Tuvy Lemberg, Vadim Indelman |
| 2022 | IROS | Speeding up POMDP Planning via Simplification. | Ori Sztyglic, Vadim Indelman |
| 2022 | IROS | Qualitative Belief Space Planning via Compositions. | Itai Zilberman, Vadim Indelman |
| 2022 | ICRA | D2A-BSP: Distilled Data Association Belief Space Planning with Performance Guarantees Under Budget Constraints. | Moshe Shienman, Vadim Indelman |
| 2022 | ISRR | Nonmyopic Distilled Data Association Belief Space Planning Under Budget Constraints. | Moshe Shienman, Vadim Indelman |
| 2020 | ICANN | Neural Spectrum Alignment: Empirical Study. | Dmitry Kopitkov, Vadim Indelman |
| 2020 | IROS | Experience-Based Prediction of Unknown Environments for Enhanced Belief Space Planning. | Omri Asraf, Vadim Indelman |
| 2020 | IROS | Probabilistic Qualitative Localization and Mapping. | Roee Mor, Vadim Indelman |
| 2019 | ICRA | iX-BSP: Belief Space Planning through Incremental Expectation. | Elad I. Farhi, Vadim Indelman |
| 2019 | IROS | Data Association Aware Semantic Mapping and Localization via a Viewpoint-Dependent Classifier Model. | Vladimir Tchuiev, Yuri Feldman, Vadim Indelman |
| 2019 | ISRR | Introducing PIVOT: Predictive Incremental Variable Ordering Tactic for Efficient Belief Space Planning. | Khen Elimelech, Vadim Indelman |
| 2018 | ICRA | Bayesian Viewpoint-Dependent Robust Classification Under Model and Localization Uncertainty. | Yuri Feldman, Vadim Indelman |
| 2018 | ICRA | Topological Multi-Robot Belief Space Planning in Unknown Environments. | Andrej Kitanov, Vadim Indelman |
| 2018 | IROS | Bayesian Information Recovery from CNN for Probabilistic Inference. | Dmitry Kopitkov, Vadim Indelman |
| 2017 | ICRA | Consistent sparsification for efficient decision making under uncertainty in high dimensional state spaces. | Khen Elimelech, Vadim Indelman |
| 2017 | ICRA | Towards efficient inference update through planning via JIP - Joint inference and belief space planning. | Elad I. Farhi, Vadim Indelman |
| 2017 | ICRA | Nonmyopic data association aware belief space planning for robust active perception. | Shashank Pathak, Antony Thomas, Vadim Indelman |
| 2017 | IROS | Scalable sparsification for efficient decision making under uncertainty in high dimensional state spaces. | Khen Elimelech, Vadim Indelman |
| 2017 | IROS | Active online visual-inertial navigation and sensor calibration via belief space planning and factor graph based incremental smoothing. | Yair Ben Elisha, Vadim Indelman |
| 2017 | ISRR | Fast Action Elimination for Efficient Decision Making and Belief Space Planning Using Bounded Approximations. | Khen Elimelech, Vadim Indelman |
| 2016 | ECAI | DA-BSP: Towards Data Association Aware Belief Space Planning for Robust Active Perception. | Shashank Pathak, Antony Thomas, Asaf Feniger, Vadim Indelman |
| 2016 | IROS | Computationally efficient decision making under uncertainty in high-dimensional state spaces. | Dmitry Kopitkov, Vadim Indelman |
| 2016 | IROS | Multi-robot decentralized belief space planning in unknown environments via efficient re-evaluation of impacted paths. | Tal Regev, Vadim Indelman |
| 2015 | ICRA | Information-based reduced landmark SLAM. | Siddharth Choudhary, Vadim Indelman, Henrik I. Christensen, Frank Dellaert |
| 2015 | ICRA | Distributed real-time cooperative localization and mapping using an uncertainty-aware expectation maximization approach. | Jing Dong, Erik Nelson, Vadim Indelman, Nathan Michael, Frank Dellaert |
| 2015 | IROS | Towards multi-robot active collaborative state estimation via belief space planning. | Vadim Indelman |
| 2015 | ISRR | Towards Cooperative Multi-robot Belief Space Planning in Unknown Environments. | Vadim Indelman |
| 2015 | ISRR | Incremental Sparse GP Regression for Continuous-Time Trajectory Estimation and Mapping. | Xinyan Yan, Vadim Indelman, Byron Boots |
| 2014 | ICRA | Eliminating conditionally independent sets in factor graphs: A unifying perspective based on smart factors. | Luca Carlone, Zsolt Kira, Chris Beall, Vadim Indelman, Frank Dellaert |
| 2014 | ICRA | Planning under uncertainty in the continuous domain: A generalized belief space approach. | Vadim Indelman, Luca Carlone, Frank Dellaert |
| 2014 | ICRA | Multi-robot pose graph localization and data association from unknown initial relative poses via expectation maximization. | Vadim Indelman, Erik Nelson, Nathan Michael, Frank Dellaert |
| 2013 | ICRA | DDF-SAM 2.0: Consistent distributed smoothing and mapping. | Alexander Cunningham, Vadim Indelman, Frank Dellaert |
| 2013 | IROS | Incremental light bundle adjustment for robotics navigation. | Vadim Indelman, Andrew Melim, Frank Dellaert |
| 2013 | ISRR | Towards Planning in Generalized Belief Space. | Vadim Indelman, Luca Carlone, Frank Dellaert |
| 2012 | BMVC | Incremental Light Bundle Adjustment. | Vadim Indelman, Richard Roberts, Chris Beall, Frank Dellaert |
| 2012 | FUSION | Factor graph based incremental smoothing in inertial navigation systems. | Vadim Indelman, Stephen Williams, Michael Kaess, Frank Dellaert |
| 2012 | FUSION | Concurrent filtering and smoothing. | Michael Kaess, Stephen Williams, Vadim Indelman, Richard Roberts, John J. Leonard, Frank Dellaert |
| 2011 | ICRA | Graph-based distributed cooperative navigation. | Vadim Indelman, Pini Gurfil, Ehud Rivlin, Hctor Rotstein |