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.
| YEAR | Impact Factor |
|---|---|
| 2024-25 | 4.3 |
| 2023 | 3.7 |
| 2022 | 3.5 |
| 2021 | 3.255 |
AUTONOMOUS ROBOTS, 0929-5593, SPRINGER, Computer Science.