activity
20192025
most citedNavTopo: Leveraging Topological Maps For Autonomous Navigation Of a Mobile Robot

7 citations · 15 across the 10 of their papers we have counts for

collaborators

11 papers

cs.RO2025

Mind and Motion Aligned: A Joint Evaluation IsaacSim Benchmark for Task Planning and Low-Level Policies in Mobile Manipulation

Nikita Kachaev, Andrei Spiridonov, Andrey Gorodetsky +8

Benchmarks are crucial for evaluating progress in robotics and embodied AI. However, a significant gap exists between benchmarks designed for high-level language instruction follow…

cs.RO2025★ 1 cited

PRISM-Loc: a Lightweight Long-range LiDAR Localization in Urban Environments with Topological Maps

Kirill Muravyev, Artem Kobozev, Vasily Yuryev +4

We propose PRISM-Loc - a lightweight and robust approach for localization in large outdoor environments that combines a compact topological representation with a novel scan-matchin…

cs.RO2024★ 7 cited

NavTopo: Leveraging Topological Maps For Autonomous Navigation Of a Mobile Robot

Kirill Muravyev, Konstantin Yakovlev

Autonomous navigation of a mobile robot is a challenging task which requires ability of mapping, localization, path planning and path following. Conventional mapping methods build…

cs.RO2024

PRISM-TopoMap: Online Topological Mapping with Place Recognition and Scan Matching

Kirill Muravyev, Alexander Melekhin, Dmitry Yudin +1

Mapping is one of the crucial tasks enabling autonomous navigation of a mobile robot. Conventional mapping methods output a dense geometric map representation, e.g. an occupancy gr…

cs.RO2023

Interactive Semantic Map Representation for Skill-based Visual Object Navigation

Tatiana Zemskova, Aleksei Staroverov, Kirill Muravyev +2

Visual object navigation using learning methods is one of the key tasks in mobile robotics. This paper introduces a new representation of a scene semantic map formed during the emb…

cs.RO2022

Evaluation of RGB-D SLAM in Large Indoor Environments

Kirill Muravyev, Konstantin Yakovlev

Simultaneous localization and mapping (SLAM) is one of the key components of a control system that aims to ensure autonomous navigation of a mobile robot in unknown environments. I…