Autonomous Robots

Aims & Scope

The primary goal of Autonomous Robots is to report on the theory and applications of robotic systems capable of some degree of self-sufficiency.

Thus, the journal is aimed at the growing trend in robotics toward mobility, intelligence and autonomy in an unstructured world.

This trend has been made possible by small, inexpensive, high-performance computers.

The term `robot' implies that the systems described here are capable of performing purposeful behaviors in the real world.

They obtain inputs from the world through sensors and act upon the world through actuators.

The connection between sensing and actuation may be simple signal processing or it may involve complex decision making, goal interpretation and other aspects of reasoning.

Most autonomous systems display some form of mobility: on land, under water, in the air or in space.

The mobility may make use of wheels, legs, fins, rotors or other actuators.

The focus is on the ability to move and be self-sufficient, not on whether the system is an imitation of biology.

Of course, biological models for robotic systems are of major interest to the journal since living systems are prototypes for autonomous behavior.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.3
2024	3.70

SJR (SCImago Journal Rank)

Year	Value
2024	1.096

Quartile

Year	Value
2024	Q1

Journal Rank

Year	Value
2024	4157

Journal Citation Indicator

Year	Value
2024	1147

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• OctoMap: an efficient probabilistic 3D mapping framework based on octrees

  Citation: 2248

  Authors: Armin, Kai M., Maren, Cyrill, Wolfram

• Globally Consistent Range Scan Alignment for Environment Mapping

  Citation: 961

  Authors: F., E.

• High Precision Formation Control of Mobile Robots Using Virtual Structures

  Citation: 906

  Authors: M. Anthony, Kar-Han

• Cooperative Mobile Robotics: Antecedents and Directions

  Citation: 724

  Authors: Y. Uny, Alex S., Andrew

• Low-drift and real-time lidar odometry and mapping

  Citation: 675

  Authors: Ji, Sanjiv

• Multiagent Systems: A Survey from a Machine Learning Perspective

  Citation: 671

  Authors: Peter, Manuela

• Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot

  Citation: 638

  Authors: Scott, Robin, Maurice, Andrés, Hongkai, Frank, Twan, Pat, Russ

• Dynamic Motion Planning for Mobile Robots Using Potential Field Method

  Citation: 618

  Authors: S.S., Y.J.

• Comparing ICP variants on real-world data sets

  Citation: 618

  Authors: François, Francis, Roland, Stéphane

• Progress and prospects of the human–robot collaboration

  Citation: 593

  Authors: Arash, Andrea Maria, Serena, Alin, Kazuhiro, Oussama

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