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Self-adaptive context aware audio localization (2017)
Book Chapter
Baxendale, M., Pearson, M. J., Nibouche, M., Secco, M., & Pipe, A. G. (2017). Self-adaptive context aware audio localization. In C. Lekakou, Y. Jin, S. Fallah, & G. Yang (Eds.), Towards Autonomous Robotic Systems, 66-78. Springer link

An audio sensor system is presented that uses multiple cere- bellar models to determine the acoustic environment in which a robot is operating, allowing the robot to select appropriate models to calibrate its audio-motor map for the detected environ... Read More about Self-adaptive context aware audio localization.

Manual takeover and handover of a simulated fully autonomous vehicle within urban and extra urban settings (2017)
Book Chapter
Morgan, P., Alford, C., Williams, C., Parkhurst, G., & Pipe, A. G. (2017). Manual takeover and handover of a simulated fully autonomous vehicle within urban and extra urban settings. In N. A. Stanton (Ed.), Advances in Human Aspects of Transportation: Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 760-771. Springer

Relatively little is known about human behavior and performance when retaking control of highly autonomous vehicles (AVs) at different speeds and under varied driving conditions. Past research has tended to focus on long periods of high-speed extra-u... Read More about Manual takeover and handover of a simulated fully autonomous vehicle within urban and extra urban settings.

The robot vibrissal system: Understanding mammalian sensorimotor co-ordination through biomimetics (2015)
Book Chapter
Prescott, T., Mitchinson, B., Lepora, N., Wilson, S., Anderson, S., Porrill, J., …Pipe, A. G. (2015). The robot vibrissal system: Understanding mammalian sensorimotor co-ordination through biomimetics. In A. Groh, & P. Krieger (Eds.), Sensorimotor Integration in the Whisker System, 213-240. Springer. https://doi.org/10.1007/978-1-4939-2975-7_10

We consider the problem of sensorimotor co-ordination in mammals through the lens of vibrissal touch, and via the methodology of embodied computational neuroscience—using biomimetic robots to synthesize and investigate models of mammalian brain archi... Read More about The robot vibrissal system: Understanding mammalian sensorimotor co-ordination through biomimetics.

TACTIP - Tactile fingertip device, texture analysis through optical tracking of skin features (2013)
Book Chapter
Winstone, B., Griffiths, G., Pipe, A. G., Melhuish, C., & Rossiter, J. (2013). TACTIP - Tactile fingertip device, texture analysis through optical tracking of skin features. In T. Prescott, N. Lepora, A. Mura, H. Krapp, & P. Verschure (Eds.), Biomimetic and Biohybrid Systems, 323-334. Springer. https://doi.org/10.1007/978-3-642-39802-5_28

In this paper we present texture analysis results for TACTIP, a versatile tactile sensor and artificial fingertip which exploits compliant materials and optical tracking. In comparison to previous MEMS sensors, the TACTIP device is especially suited... Read More about TACTIP - Tactile fingertip device, texture analysis through optical tracking of skin features.

Bioinspired control of electro-active polymers for next generation soft robots (2012)
Book Chapter
Wilson, E., Anderson, S. R., Assaf, T., Pearson, M., Walters, P., Melhuish, C., …Porrill, J. (2012). Bioinspired control of electro-active polymers for next generation soft robots. In G. Herrmann, M. Studley, M. Pearson, A. Conn, C. Melhuish, M. Witkowski, …J. H. Kim (Eds.), Advances in Autonomous Robotics: Joint Proceedings of the 13th Annual TAROS Conference and the 15th Annual FIRA RoboWorld Congress, Bristol, UK, August 20-23, 2012, Proceedings, 424-425. Springer

Paper given at TAROS Towards Autonomous Robotic Systems Conference, Bristol, UK 20-25 August 2012.