Akiko Mizutani

Javaan Singh Chahl

Mika Sato-Ilic

This book is a collection of chapters on the state of art in the area of intelligent machines. This research provides a sound basis to make autonomous systems human-like. The contributions include an introduction to intelligent machines; supervisory control of multiple UAVs; and intelligent autonomous UAV task allocation. Also included is material on UAV path planning; dynamic path planning ; state estimation of micro air vehicles and architecture for soccer playing robots, as well as robot perception.

Innovations in Intelligent Machines - 1

Javaan Chahl

Insects are dependent on the spatial, spectral, and temporal distributions of light in the environment for flight control and navigation. This chapter reports on flight trials of implementations of insect-inspired behaviors on unmanned aerial vehicles. Optical-flow methods for maintaining a constant height above ground and a constant course have been demonstrated to provide navigational capabilities that are impossible using conventional avionics sensors. Precision control of height above ground and ground course were achieved over long distances. Other demonstrated vision-based techniques include a biomimetic stabilization sensor that uses the ultraviolet and green bands of the spectrum and a sky polarization compass. Both of these sensors were tested over long trajectories in different directions, in each case showing performance similar to low-cost inertial heading and attitude systems.

Akiko Mizutani

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