会议信息

LARS 2019: Latin American Robotics Symposium

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截稿日期:
2019-07-21
通知日期:
2019-09-02
会议日期:
2019-10-22
会议地点:
Rio Grande, Brazil
届数:
16
浏览: 12732   关注: 2   参加: 0

征稿

LARS 2019 (Latin American Robotics Symposium) is an academic conference held in Rio Grande, Brazil on 2019-10-22. The paper submission deadline is 2019-07-21. Acceptance notifications are sent on 2019-09-02.

The IEEE LARS and SBR (Latin American Robotics Symposium / Brazilian Robotics Symposium) aim at promoting a comprehensive scientific meeting in the area of Intelligent Robotics, bringing together researchers, undergraduate and graduate students of Computer Science, Electrical Engineering, Mechatronics Engineering, Computer Engineering and related fields. The event will include technical sessions of an oral presentation of full papers and technical lectures of recognized importance in the area. LARS/SBR will take place in Rio Grande, Ro Grande do Sul, Brazil from October 22 to 26, 2019. We are looking forward to seeing you in LARS/SBR 2019. PAPER SUBMISSION INFO Papers must be written in English and must not exceed 6 pages in standard IEEE format including title, abstract, all tables, figures, and references. Papers should present substantial new results in theoretical, empirical and applied research related to the topics of the conference. This year the reviewing process will be DOUBLE BLINDED, so authors must hide their names, contact information, acknowledgments and any other reference to where their research takes place. All papers must be registered and uploaded by using JEMS https://jems.sbc.org.br/ Templates http://ras.papercept.net/conferences/support/files/ieeeconf_A4.dot http://ras.papercept.net/conferences/support/tex.php (set to A4) PROCEEDINGS The proceedings will be published by IEEE, and it will be available through the IEEE Xplore site. TOPICS OF INTEREST 1. Vision in robotics and automation; 2. Symbol mediated robot behavior control; 3. Sensory mediated robot behavior control; 4. Active sensory processing and control; 5. Industrial applications of autonomous systems; 6. Sensor modeling and data interpretation e.g. models and software for sensor data integration, 3D scene analysis, environment description and modeling, pattern recognition; 7. Robust techniques in AI and sensing e.g. uncertainty modeling, graceful degradation of systems; 8. Robot programming e.g. on-line and off-line programming, discrete event dynamical systems, fuzzy logic; 9. Multi-Robot and Multi-Agents, Cooperation and Collaboration; 10. CAD-based robotics e.g. CAD-based vision, reverse engineering; 11. Robot simulation and visualization tools; 12. Tele-operated and autonomous systems; 13. Microelectromechanical robots; 14. Robot modeling; 15. Robot control architectures; 16. Sensor-Motor control of Robots; 17. Robot planning, reasoning, communication, adaptation, and learning; 18. Mechanical design; 19. Robotic Manipulators; 20. Robot soccer; 21. Evolutionary robotics; 22. Bio-Inspired robotics; 23. Robots for robotic surgery and rehabilitation; 24. Micro/nano-robotics, new Devices, and materials for robots; 25. Human-Robot Interaction and Interfaces; 26. Education issues in Robotics; 27. Computing architectures; 28. Sensor Networks, architectures of embedded Hardware and software; 29. Self-Localization, Mapping and Navigation; 30. Multi-robot systems; 31. Aerial vehicles; 32. Autonomous vehicles; 33. Mobile robot platforms; 34. Service robots and entertainment robots; 35. Underwater robots; 36. Humanoids.
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