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cs.RO2023
Probabilistic Qualitative Localization and Mapping
Roee Mor, Vadim Indelman
Simultaneous localization and mapping (SLAM) are essential in numerous robotics applications, such as autonomous navigation. Traditional SLAM approaches infer the metric state of t…
cs.RO2022
Hybrid Belief Pruning with Guarantees for Viewpoint-Dependent Semantic SLAM
Tuvy Lemberg, Vadim Indelman
Semantic simultaneous localization and mapping is a subject of increasing interest in robotics and AI that directly influences the autonomous vehicles industry, the army industries…
cs.RO2021
Efficient Belief Space Planning in High-Dimensional State Spaces using PIVOT: Predictive Incremental Variable Ordering Tactic
Khen Elimelech, Vadim Indelman
In this work, we examine the problem of online decision making under uncertainty, which we formulate as planning in the belief space. Maintaining beliefs (i.e., distributions) over…