Autonomous Robots - Springer - Impact Factor

Autonomous Robots - Springer | 2024 Impact Factor:4.3 | Cite Score:10.0 | Q1

Impact Factor and Journal Rank of Autonomous Robots

About: Autonomous Robots features papers that include performance data on actual robots in the real world. This journal focuses on intelligent machines capable of performing tasks in the world by themselves, without explicit human control. 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.
Publication Types:
Autonomous Robots publishes various types of articles, including:

Research Articles: Original research contributions that advance the theory and application of autonomous robotic systems.

Review Articles: Comprehensive reviews that synthesize current research trends and advancements in the field of autonomous robotics.

Technical Notes: Brief communications on specific aspects of robotic systems and technologies.

Case Studies and Application Papers: Detailed accounts of real-world applications and experimental results of autonomous robots.

Special Issues: Themed collections of articles focused on specific topics or emerging trends in autonomous robotics.
Impact and Contribution:
Autonomous Robots serves as a pivotal platform for researchers, engineers, and practitioners to share and explore the latest developments in autonomous robotics. By featuring empirical data and theoretical advancements, the journal contributes to the growth and innovation in robotics, promoting the development of intelligent, autonomous systems capable of operating independently in dynamic and unstructured environments.

Journal Home: Journal Homepage

Editor-in-Chief: Gaurav S. Sukhatme

Scope: Autonomous Robots is a specialized journal dedicated to the theory and applications of robotic systems that exhibit varying degrees of autonomy and intelligence. It focuses on the intersection of robotics, artificial intelligence, and autonomous systems capable of operating independently in unstructured environments. The journal emphasizes empirical studies and theoretical advancements that demonstrate the capabilities of autonomous robots through real-world performance data.
Key aspects of the journal include:
Theory and Applications: Autonomous Robots publishes original research and review articles that advance the theoretical foundations and practical applications of autonomous robotic systems. It covers a wide range of topics including robot perception, decision-making, control algorithms, navigation, manipulation, and human-robot interaction.
Performance in Real-World Settings: The journal features papers that present empirical data and performance evaluations of robots operating in real-world environments. These studies provide insights into the capabilities, limitations, and challenges faced by autonomous robots in practical applications.
Technological Trends: Autonomous Robots focuses on emerging trends in robotics, particularly those related to mobility, intelligence, and autonomy. It explores innovations in sensor technologies, machine learning algorithms, computer vision, and other enabling technologies that enhance the autonomy and functionality of robots.
Unstructured Environments: The journal addresses the unique challenges of deploying robots in unstructured and dynamic environments, such as outdoor spaces, disaster zones, industrial facilities, and homes. It covers adaptive control strategies, robust perception systems, and resilience to environmental uncertainties.

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