STRL Robotics: Intelligent Control for Robotic Platform in Human-Oriented Environment

This article considers the problem of synthesizing the behavior of mobile robotic manipulator when solving tasks in a human-oriented environment. The architecture of the control system is presented, which integrates the modules responsible localization and mapping in an original way, planning the motion of the mobile platform between given points, controlling movement along the planned path, using object recognition on sensor data, and controlling the manipulator when interacting with recognized objects. These components are implemented for an example task of ensuring the mobility of a robotic system in a multifloor office building equipped with elevators. During the experiments, the implemented set of components allowed a real robotic system to use the elevator of an office building. The program code is published in the public domain and is available at the link https://github.com/cds-mipt/strl_robotics .

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Publication Details

Journal
Scientific and Technical Information Processing
Published
2024-12-01
DOI
https://doi.org/10.3103/s0147688224700357
Citations
5
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.25
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article

STRL Robotics: Intelligent Control for Robotic Platform in Human-Oriented Environment

Muhammad Alhaddad, Dmitry Yudin, D. A. Makarov, В. А. Головин et al.
5 citations
Scientific and Technical Information Processing
Robotic Path Planning Algorithms
1.25
article

STRL Robotics: Intelligent Control for Robotic Platform in Human-Oriented Environment

Muhammad Alhaddad, Dmitry Yudin, D. A. Makarov, В. А. Головин, Konstantin Mironov, Ilya Belkin, Konstantin Yakovlev, Daniil Pushkarev, Sergey Linok, Aleksandr I. Panov, A. S. Krishtopik
article en
5 citations

Abstract

This article considers the problem of synthesizing the behavior of mobile robotic manipulator when solving tasks in a human-oriented environment. The architecture of the control system is presented, which integrates the modules responsible localization and mapping in an original way, planning the motion of the mobile platform between given points, controlling movement along the planned path, using object recognition on sensor data, and controlling the manipulator when interacting with recognized objects. These components are implemented for an example task of ensuring the mobility of a robotic system in a multifloor office building equipped with elevators. During the experiments, the implemented set of components allowed a real robotic system to use the elevator of an office building. The program code is published in the public domain and is available at the link https://github.com/cds-mipt/strl_robotics .

Scientific and Technical Information ProcessingVol. 51(5)
Russian Academy of Sciences (RU), Moscow Institute of Physics and Technology (RU), Artificial Intelligence in Medicine (Canada) (CA)
Openalex Percentile: Top 18%
Robotic Path Planning Algorithms
1.25
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STRL Robotics: Intelligent Control for Robotic Platform in Human-Oriented Environment — Muhammad Alhaddad, Dmitry Yudin, et al. · Scientific and Technical Information Processing (2024) | TGRS Research Map | TGRS