Skip to main content

Research Repository

Advanced Search

Active whisker placement and exploration for rapid object recognition (2020)
Conference Proceeding
Pearson, M. J., & Salman, M. (2020). Active whisker placement and exploration for rapid object recognition. https://doi.org/10.1109/iros40897.2019.8968517

© 2019 IEEE. Identifying objects using sparse tactile sensor arrays requires movement across the surface and the integration of sensory information to support hypotheses. In this study we demonstrate a surface placement control strategy to orient and... Read More about Active whisker placement and exploration for rapid object recognition.

Feed-forward selection of cerebellar models for calibration of robot sound source localization (2019)
Conference Proceeding
Baxendale, M. D., Nibouche, M., Secco, E. L., Pipe, A. G., & Pearson, M. J. (2019). Feed-forward selection of cerebellar models for calibration of robot sound source localization. https://doi.org/10.1007/978-3-030-24741-6_1

© 2019, Springer Nature Switzerland AG. We present a responsibility predictor, based on the adaptive filter model of the cerebellum, to provide feed-forward selection of cerebellar calibration models for robot Sound Source Localization (SSL), based o... Read More about Feed-forward selection of cerebellar models for calibration of robot sound source localization.

Whisker-ratSLAM applied to 6D object identification and spatial localisation (2018)
Conference Proceeding
Salman, M., & Pearson, M. J. (2018). Whisker-ratSLAM applied to 6D object identification and spatial localisation. https://doi.org/10.1007/978-3-319-95972-6_44

© Springer International Publishing AG, part of Springer Nature 2018. The problem of tactile object identification has a strong connection with the problem of Simultaneous Localization and Mapping (SLAM) in a physical 6-dimensional environment. Here... Read More about Whisker-ratSLAM applied to 6D object identification and spatial localisation.

An adaptive modular recurrent cerebellum-inspired controller (2017)
Conference Proceeding
Maheri, K., Lenz, A., & Pearson, M. J. (2017). An adaptive modular recurrent cerebellum-inspired controller. In M. Mangan, C. Mark, A. Mura, P. Verschure, T. Prescott, & L. Nathan (Eds.), https://doi.org/10.1007/978-3-319-63537-8_23

Animals and robots face the common challenge of interacting with an unstructured environment. While animals excel and thrive in such environments, modern robotics struggles to effectively execute simple tasks. To help improve performance in the face... Read More about An adaptive modular recurrent cerebellum-inspired controller.