Navigation research
Whereas originally the term Navigation applies to the process of directing a ship to a destination, Navigation research deals with fundamental aspects of navigation in general. It can be defined as "The process of determining and maintaining a course or trajectory to a goal location" (Franz, Mallot, 2000). It concerns basically all moving agents, biological or artificial, autonomous or remote-controlled.
Franz and Mallot proposed a navigation hierarchy in Robotics and Autonomous Systems 30 (2006):[1]
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Behavioural prerequisite |
Navigation competence |
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Local navigation |
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Search |
Goal recognition |
Finding the goal without active goal orientation |
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Direction-following |
Align course with local direction |
Finding the goal from one direction |
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Aiming |
Keep goal in front |
Finding a salient goal from a catchment area |
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Guidance |
Attain spatial relation to the surrounding objects |
Finding a goal defined by its relation to the surroundings |
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Way-finding |
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Recognition-triggered response |
Association sensory pattern-action |
Following fixed routes |
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Topological navigation |
Route integration, route planning |
Flexible concatenation of route segments |
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Survey navigation |
Embedding into a common reference frame |
Finding paths over novel terrain |
There are two basic methods for navigation:
- Egocentric navigation also known as Idiothetic navigation
- Allocentric navigation also known as Allothetic navigation
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Outdoor robots can use GPS in a similar way to automotive navigation systems. Alternative systems can be used with floor plan instead of maps for indoor robots, combined with localization wireless hardware.
[edit] See also
[edit] References
- ^ Franz; Mallot (2000). Robotics and Autonomous Systems 30. pp. 133–153. http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V16-3YHG97R-K&_user=946230&_coverDate=01%2F31%2F2000&_rdoc=9&_fmt=summary&_orig=browse&_srch=%23toc%235666%232000%23999699998%23159597!&_cdi=5666&_sort=d&_docanchor=&_acct=C000049009&_version=1&_urlVersion=0&_userid=946230&md5=8c30c4f00f8e97c08651032b4d118e90.