Overview
Autonomous Robots is a journal focusing on the theory and applications of self-sufficient robotic systems.
- Features papers that include performance data on actual robots in the real world.
- Reports on learning and adaptation in robots, human-robot interaction, and multi-robot systems.
- Covers a wide range of topics, including planning and navigation, studies of autonomous robot systems, and self-calibration and self-repair for robots.
- Known for its high Impact Factor in Robotics and AI.
- Editor-in-Chief
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- Gaurav Sukhatme
- Journal Impact Factor
- 3.7 (2023)
- 5-year Journal Impact Factor
- 4.1 (2023)
- Submission to first decision (median)
- 15 days
- Downloads
- 349,712 (2023)
Latest articles
Journal updates
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Latest Special Issue: Robotics: Science and Systems 2022
Guest Editors: Shoudong Huang, Kris Hauser & Dylan Shell
This Special Issue contains 8 original research papers spanning the topics of grasp and manipulation planning, active perception, out-door navigation, control using data-driven and classical ordinary differential equation (ode) models, and high-precision control of aerial vehicles. -
Special Issue: Robotics: Science and Systems 2023
CLOSED FOR SUBMISSIONS
Guest Editors: Kostas Bekris, Kris Hauser, Sylvia Herbert & Jingjin Yu
This Special Issue aims to put together a collection of articles to align with the mission of Autonomous Robots and are worthy of archival form. In this way, the Special Issue will bring the latest developments in robotics research to the world. -
Journal information
- Electronic ISSN
- 1573-7527
- Print ISSN
- 0929-5593
- Abstracted and indexed in
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- ACM Digital Library
- ANVUR
- BFI List
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- Current Contents/Engineering, Computing and Technology
- DBLP
- Dimensions
- EBSCO
- EI Compendex
- Google Scholar
- INSPEC
- Japanese Science and Technology Agency (JST)
- Naver
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- SCImago
- SCOPUS
- Science Citation Index Expanded (SCIE)
- TD Net Discovery Service
- UGC-CARE List (India)
- Wanfang
- Copyright information
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© Springer Science+Business Media, LLC, part of Springer Nature