Home > Papers from 2016 > Insect inspired robotics

Insect inspired robotics

Insect navigation continues to inspire engineers in attempts to develop robust robot navigation systems. This batch of 3 papers highlights this. First-up we have Cope et al. who have developed a biologically plausible model of optic-flow based flight control. Denuelle and Srinivasan also are looking at flying robots. Their novel algorithm provides a way for discrete snapshots to be used by an agent to fly a habitual route between locations. Last (but not least) Stone et al. present a wheeled robot using skylines for navigation. The sensor channel is insect inspired (UV contrast) and, in the best traditions of biorobotics, the use of spherical harmonics provides a novel and interesting hypothesis for visual encoding in insect visual systems.

Cope, A. J., Sabo, C., Gurney, K., Vasilaki, E., & Marshall, J. A. (2016). A Model for an Angular Velocity-Tuned Motion Detector Accounting for Deviations in the Corridor-Centering Response of the Bee. PLoS Comput Biol12(5), e1004887.
Denuelle, A., & Srinivasan, M. V. (2016, May). A sparse snapshot-based navigation strategy for UAS guidance in natural environments. In 2016 IEEE International Conference on Robotics and Automation (ICRA) (pp. 3455-3462). IEEE.
Stone, T., Differt, D., Milford, M., & Webb, B. (2016, May). Skyline-based localisation for aggressively manoeuvring robots using UV sensors and spherical harmonics. In 2016 IEEE International Conference on Robotics and Automation (ICRA) (pp. 5615-5622). IEEE.
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