1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.RO2025
LiLMaps: Learnable Implicit Language Maps
Evgenii Kruzhkov, Sven Behnke
One of the current trends in robotics is to employ large language models (LLMs) to provide non-predefined command execution and natural human-robot interaction. It is useful to hav…
cs.RO2024
Hierarchical Pose Estimation and Mapping with Multi-Scale Neural Feature Fields
Evgenii Kruzhkov, Alena Savinykh, Sven Behnke
Robotic applications require a comprehensive understanding of the scene. In recent years, neural fields-based approaches that parameterize the entire environment have become popula…
cs.RO2022★ 1 cited
MeSLAM: Memory Efficient SLAM based on Neural Fields
Evgenii Kruzhkov, Alena Savinykh, Pavel Karpyshev +4
Existing Simultaneous Localization and Mapping (SLAM) approaches are limited in their scalability due to growing map size in long-term robot operation. Moreover, processing such ma…