• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Book chapter
  • Decentralized Unlabeled Multi-agent Navigation in Continuous Space
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

Decentralized Unlabeled Multi-agent Navigation in Continuous Space

P. 186–200.
Dergachev S., Yakovlev K.
Language: English
Full text
DOI
Text on another site
Keywords: групповая робототехникаинтеллектуальная робототехникаautonomous navigationautonomous navigation of a mobile robotавтономная навигация мобильного робота;collective roboticsмногоагентное планированиеcollaborative roboticsmulti-agent path findingIntellectual RoboticsMulti-agent robotic systemMulti-agent path planningНавигация мобильных роботовMobile robots navigation

In book

Interactive Collaborative Robotics. 9th International Conference, ICR 2024, Mexico City, Mexico, October 14–18, 2024, Proceedings
Cham: Springer, 2024.
Similar publications
Bioinspired Method of Agent Redistribution between Groups
Irina Petrovna Karpova, Pattern Recognition and Image Analysis 2025 Vol. 35 No. 4 P. 1138–1144
A solution to the problem of redistributing agents between groups based on simulating a form of social parasitism in ants known as slave-making is considered. To provide a comprehensive solution, the problem is integrated with a method of orientation based on visual landmarks and a compass, including route memorization and return. The models and mechanisms ...
Added: April 29, 2026
10th International Conference, ICR 2025, Hanoi, Vietnam, November 10–13, 2025, Proceedings, Part II. Interactive Collaborative Robotics. (LNCS, volume 16304)
Springer, 2026.
The two volume set LNAI 16303 + 16304 constitutes the refereed proceedings of the 10th International Conference on Interactive Collaborative Robotics, ICR 2025, held in Hanoi, Vietnam, during November 10–13, 2025. The 58 full papers presented in these two volumes were carefully reviewed and selected from 143 submissions. The papers are organized in the following topical sections:  Part ...
Added: March 17, 2026
Decentralized Uncertainty-Aware Multi-Agent Collision Avoidance With Model Predictive Path Integral
Dergachev S., Yakovlev K., , in: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).: IEEE, 2025. P. 12456–12463.
Decentralized multi-agent navigation under uncertainty is a complex task that arises in numerous robotic applications. It requires collision avoidance strategies that account for both kinematic constraints, sensing and action execution noise. In this paper, we propose a novel approach that integrates the Model Predictive Path Integral (MPPI) with a probabilistic adaptation of Optimal Reciprocal Collision ...
Added: March 2, 2026
Ant-inspired navigation algorithm based on visual landmarks
Karpova I. P., Robotics and Autonomous Systems 2025 Vol. 193 Article 105082
This paper describes a method for mobile robot navigation that is similar to the navigation mechanism of social insects. Unlike other bio-inspired methods that mimic certain morphological features of animals or separate natural mechanisms, the proposed approach is based on the phenomenology of the behaviour of some ant species during collective foraging. This method does ...
Added: June 3, 2025
Distributed Multi-Agent Navigation Based on Reciprocal Collision Avoidance and Locally Confined Multi-Agent Path Finding
Dergachev S., Yakovlev K., , in: 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE).: IEEE, 2024. Ch. n/a P. 1489–1494.
Avoiding collisions is the core problem in multiagent navigation. In decentralized settings, when agents have limited communication and sensory capabilities, collisions are typically avoided in a reactive fashion, relying on local ob-servations/communications. Prominent collision avoidance techniques, e.g. ORCA, are computationally efficient and scale well to a large number of agents. However, in numerous scenarios, involving ...
Added: May 5, 2025
PRISM-TopoMap: online topological mapping with place recognition and scan matching
Kirill Muravyev, Melekhin A., Yudin D. et al., IEEE Robotics and Automation Letters 2025 Vol. 10 No. 4 P. 3126–3133
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 grid, which is not trivial to keep consistent for prolonged runs covering large environments. Meanwhile, capturing the topological structure of the workspace enables fast path planning, is typically less ...
Added: March 3, 2025
“Pitfalls” of Bio-Inspired Models on the Example of Ant Trails
I.P. Karpova, V. E. Karpov, Automation and Remote Control 2024 Vol. 85 No. 7 P. 641–651
This paper explores the problem of influencing the environment by a group of autonomous robots through the creation and use of road infrastructure. The model object is ant roads (trails). We identify the main aspects of the behavior of different ant species in the process of collective foraging, and actions that together lead to the ...
Added: November 6, 2024
Применение управления с прогнозирующими моделями и стохастической оптимизацией в задаче децентрализованного много-агентного избегания столкновений
Dergachev S., Yakovlev K., В кн.: Сборник трудов XIV Всероссийского совещания по проблемам управления ВСПУ-2024.: Институт проблем управления им. В.А. Трапезникова РАН, 2024. С. 1630–1634.
Added: September 26, 2024
Decentralized Unlabeled Multi-agent Pathfinding Via Target And Priority Swapping
Dergachev S., Yakovlev K., , in: ECAI 2024. 27th European Conference on Artificial Intelligence, October 19 – 24 October 2024, Santiago de Compostela, Spain – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024).: IOS Press, 2024. P. 4344–4351.
Added: September 11, 2024
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit