( en | de | ru )

 

Disambiguation of "Indelman, Vadim"

Author of the publication

copydeleteadd this publication to your clipboard
Simplified Continuous High-Dimensional Belief Space Planning With Adaptive Probabilistic Belief-Dependent Constraints.

, and . IEEE Trans. Robotics, (2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Vadim Vogelsang

Vadim Alekseev

Vadim Azhmyakov

Vadim Korotkov

Vadim Kopzon

 

Other publications of authors with the same name

Cooperative multi-robot belief space planning for autonomous navigation in unknown environments.. Auton. Robots, 42 (2): 353-373 (2018)Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping., , and . CoRR, (2015)Robust Active Perception via Data-association aware Belief Space planning., , , and . CoRR, (2016)Planning in the continuous domain: A generalized belief space approach for autonomous navigation in unknown environments., , and . Int. J. Robotics Res., 34 (7): 849-882 (2015)Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains., and . Artif. Intell., (2022)Multi-robot pose graph localization and data association from unknown initial relative poses via expectation maximization., , , and . ICRA, page 593-600. IEEE, (2014)Bayesian Information Recovery from CNN for Probabilistic Inference., and . IROS, page 7795-7802. IEEE, (2018)Inference Over Distribution of Posterior Class Probabilities for Reliable Bayesian Classification and Object-Level Perception., and . IEEE Robotics Autom. Lett., 3 (4): 4329-4336 (2018)Graph-based distributed cooperative navigation., , , and . ICRA, page 4786-4791. IEEE, (2011)General Purpose Incremental Covariance Update and Efficient Belief Space Planning via Factor-Graph Propagation Action Tree., and . CoRR, (2019)