Danger recognition and visual aid for the monitoring of wayfinding robots in obstacle avoidance scenarios
Authors
Term
4. term
Education
Publication year
2018
Submitted on
2018-05-28
Pages
48
Abstract
The course of action for object avoidance throughout the past 15 years has given birth to new possibilities for indoor navigation in crowded areas. However, the gap lies within perceiving and navigating the area in a safe manner. Robots are also becoming a larger part in people's everyday lives which provides a need for understanding the robots' interactions. However, the gap lies within task management and visualising the brains of a robot. We propose a solution for the recognition of dangerous scenarios and an untested visual aid for comprehending robot reactions to input. We can conclude that our solution is programmatically accurate but requires improvements to be applicable in a real life scenario.
Keywords
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