While navigating their environments it is essential for

autonomous mobile robots to actively avoid collisions with obstacles.

Flying insects perform this behavioural task with ease relying mainly

on information the visual system provides. Here we implement a bioinspired

collision avoidance algorithm based on the extraction of nearness

information from visual motion on the hexapod walking robot platform

HECTOR. The algorithm allows HECTOR to navigate cluttered environments

while actively avoiding obstacles.