All Outputs (2)

Feather-inspired sensor for stabilizing unmanned aerial vehicles in turbulent conditions (2017)
Book Chapter
Kouppas, C., Pearson, M. J., Dean, P., & Anderson, S. (2017). Feather-inspired sensor for stabilizing unmanned aerial vehicles in turbulent conditions. In M. Mangan, M. Cutkosky, A. Mura, P. Verschure, T. Prescott, & N. Lepora (Eds.), Biomimetic and Biohybrid Systems (230-241). Springer link

Stabilizing unmanned aerial vehicles (UAVs) in turbulent conditions is a challenging problem. Typical methods of stabilization do not use feedforward information about the airflow disturbances but only UAV attitude feedback signals, e.g. from an iner... Read More about Feather-inspired sensor for stabilizing unmanned aerial vehicles in turbulent conditions.

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.