Schaffernicht, E., Hernandez Bennetts, V., & Lilienthal, A. (2017). Mobile robots for learning spatio-temporal interpolation models in sensor networks - The Echo State map approach. RAISE 2017 IEEE International Conference on Robotics and Automation (ICRA), 2659. https://doi.org/10.1109/ICRA.2017.7989310
Chicago Style (17th ed.) CitationSchaffernicht, Erik, Victor Hernandez Bennetts, and Achim Lilienthal. "Mobile Robots for Learning Spatio-temporal Interpolation Models in Sensor Networks - The Echo State Map Approach." RAISE 2017 IEEE International Conference on Robotics and Automation (ICRA) 2017: 2659. https://doi.org/10.1109/ICRA.2017.7989310.
MLA (9th ed.) CitationSchaffernicht, Erik, et al. "Mobile Robots for Learning Spatio-temporal Interpolation Models in Sensor Networks - The Echo State Map Approach." RAISE 2017 IEEE International Conference on Robotics and Automation (ICRA), 2017, p. 2659, https://doi.org/10.1109/ICRA.2017.7989310.