All Outputs (3)

Towards multimodal interactions: Robot jogging in mixed reality (2017)
Conference Proceeding
Sita, E., Studley, M., Dailami, F., Pipe, A. G., & Thomessen, T. (2017). Towards multimodal interactions: Robot jogging in mixed reality. In Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology - VRST '17 (1-2). https://doi.org/10.1145/3139131.3141200

© 2017 Copyright held by the owner/author(s). The recent progress made in the field of Augmented Reality/Mixed Reality (AR/MR) has opened new possibilities and approaches to research areas that can benefit from 3D visualization of digital content in... Read More about Towards multimodal interactions: Robot jogging in mixed reality.

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.

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). LNCS 10454: 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.