Autonomous Robots reports on the theory and applications of robotic systems capable of some degree of self-sufficiency. It features papers that include performance data on actual robots in the real world. Coverage includes: control of autonomous robots · real-time vision · autonomous wheeled and tracked vehicles · legged vehicles · computational architectures for autonomous systems · distributed architectures for learning, control and adaptation · studies of autonomous robot systems · sensor fusion · theory of autonomous systems · terrain mapping and recognition · self-calibration and self-repair for robots · self-reproducing intelligent structures · genetic algorithms as models for robot development.

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.

  • Reports on the theory and applications of robotic systems capable of some degree of self-sufficiency.
  • Features papers that include performance data on actual robots in the real world.
  • High Impact Factor in Robotics and AI.

Journal information

Editor-in-Chief
  • Gaurav Sukhatme
Publishing model
Hybrid. Open Access options available

Journal metrics

3.634 (2018)
Impact factor
4.269 (2018)
Five year impact factor
182 days
Submission to first decision
410 days
Submission to acceptance
233,202 (2019)
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Electronic ISSN
1573-7527
Print ISSN
0929-5593
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