Global navigation approach for assistant robot
Artículo de revista
2016
Context: This work shows a novel navigation
approach based on images for an assistant hybrid robot composed by a humanoid and an omnidirectional platform.
Method: This approach introduces a complex space
analysis, using Zeros and Poles attraction-repulsion
principle. In order to perform the algorithm, an integrated system is developed; this system includes: an
external camera to take a global navigation surface
view, the assistant robot, and communication devices. Navigation is supported by some digital image
processing algorithms and performed using the root
location technique.
Results: An integrated system of global navigation
with external sensors was successfully implemented
for the proposed hybrid robot.
Conclusions: Some simulation and experimental
tests will be discussed in order to validate this proposal and the whole system. Additionally, some suggestions for future research are proposed.
- BC. Artículos [172]