Artificial Intelligence in Robotics Navigation
A special issue of AI (ISSN 2673-2688).
Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 910
Special Issue Editors
Interests: neural networks; pattern recognition; machine learning; image processing; outdoor robotics; artificial intelligence; indoor localization and positioning
Special Issues, Collections and Topics in MDPI journals
Interests: global positioning system; Kalman filters; distance measurement; indoor navigation
Interests: machine learning; artificial intelligence; reinforcement learning; event processing; data mining; analytics; sports analytics; pattern recognition; localization; navigation; pose estimation
Special Issue Information
Dear Colleagues,
Robotic positioning and navigation is an established research field topic: emerging indoor positioning technologies, like Wi-Fi or BLE fingerprinting or visible light communications, are introducing newcomers to this research field. Although there are many well-know deterministic and probabilistic models for indoor positioning technologies, some novel approaches are using state-of-the-art machine and deep learning models to find hidden patterns in the raw data, improve knowledge on this topic, and reduce positioning errors.
This Special Issue encourages authors, from academia and industry, to submit new research results about positioning and navigation models based on machine learning for robotic systems. The Special Issue topics include but are not limited to the following:
- Fingerprint-based positioning;
- Inertial-based positioning;
- Positioning-based visible light communications;
- Angle of arrival determination;
- Clustering;
- Anomaly detection;
- Regression;
- Sensor fusion;
- Collaborative positioning;
- Novel applications based on machine/deep learning and positioning data.
Dr. Joaquín Torres-Sospedra
Dr. María Carmen Pérez
Dr. Christopher Mutschler
Guest Editors
Manuscript Submission Information
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