TY  - CHAP
AB  - 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.
DO  - 10.1007/978-3-319-42417-0_16
KW  - Biorobotics · Bio-inspired vision · Collision avoidance · Optic flow · Elementary motion detector
LA  - eng
PY  - 2016
TI  - A Bio-Inspired Model for Visual Collision Avoidance on a Hexapod Walking Robot
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-29053465
Y2  - 2024-11-22T03:20:11
ER  -