Difference between revisions of "Scenario suggestions"
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| − | == Proposals on how to use the hand-bot == |
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| − | * move a long object |
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| − | * banner |
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| − | * object on a table |
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| − | *# 3 hand-bots shoot up from strategic locations surrounding the table |
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| − | *# hand-bots are moved together by foot-bots |
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| − | *# hand-bots grab each other or a ring |
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| − | *# hand-bots rise on their ropes, and can move freely in horizontal plane by pulling on respective ropes |
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| − | * foot-bot elevator |
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== IRIDIA collective proposal == |
== IRIDIA collective proposal == |
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| ⚫ | Our proposal involves extending the scenario to allow for more sophisticated multiple hand-bot behavioural dynamics. We propose replacing the single book that had to be retrieved (and that was criticised by the referees) with multiple objects spread across some shelves. The objects would be rectangular objects with varying attributes (e.g. material, size, weight, LED colour etc). The task would then become to first identify some appropriate subset of the objects, retrieve them from the shelves, and then (possibly) to use them to build some form of structure. |
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| + | We imagine that eye-bots could detect the presence of objects on the shelf, but not be able to discriminate between objects with different attributes - such discrimination would require close up sensing by the hand-bots. Thus the eye-bot could direct foot-bots and hand-bots to the appropriate shelves, but only the hand-bots could pick out the required subset of objects. Hand-bot discrimination could either be through close up camera based sensing, or through some kind of manipulation (lifting, give it a squeeze!). For an attribute like object length (or weight), multiple hand-bots might need to cooperate to find / select the right objects. |
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| ⚫ | Our proposal involves extending the scenario to allow for more sophisticated multiple hand-bot behavioural dynamics. We propose replacing the single book that had to be retrieved (and that was criticised by the referees) with multiple objects |
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| + | Depending on the parameters we use to set up this scenario, we think there are many interesting research possibilities, especially to explore swarm dynamics - both heteregeneous and within a swarm of homogeneous hand-bots. For example, with a high density of hand-bots, the hand-bots could collectively search the vertical plane in a similar fashion to which the eye-bots search the ceiling plane by forming some kind of communicating network. Alternatively, when the hand-bot density is low, foot-bots could be used as markers to deliniate already explored segments of the plane. Multiple hand-bots might be required to lift long, bendy, or overly heavy objects. |
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| − | In particular, we propose that the task involves multiple objects placed on a |
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| + | * Retreive Single Object |
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| + | * Retre |
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| + | Environment Complexity Parameters |
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| − | swarmanoid is required to retrieve objects of a particular type from shelves and use them to build structures. |
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| + | * Object size |
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| + | * Object location |
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| + | * Object type |
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Revision as of 17:58, 30 April 2008
IRIDIA collective proposal
Our proposal involves extending the scenario to allow for more sophisticated multiple hand-bot behavioural dynamics. We propose replacing the single book that had to be retrieved (and that was criticised by the referees) with multiple objects spread across some shelves. The objects would be rectangular objects with varying attributes (e.g. material, size, weight, LED colour etc). The task would then become to first identify some appropriate subset of the objects, retrieve them from the shelves, and then (possibly) to use them to build some form of structure.
We imagine that eye-bots could detect the presence of objects on the shelf, but not be able to discriminate between objects with different attributes - such discrimination would require close up sensing by the hand-bots. Thus the eye-bot could direct foot-bots and hand-bots to the appropriate shelves, but only the hand-bots could pick out the required subset of objects. Hand-bot discrimination could either be through close up camera based sensing, or through some kind of manipulation (lifting, give it a squeeze!). For an attribute like object length (or weight), multiple hand-bots might need to cooperate to find / select the right objects.
Depending on the parameters we use to set up this scenario, we think there are many interesting research possibilities, especially to explore swarm dynamics - both heteregeneous and within a swarm of homogeneous hand-bots. For example, with a high density of hand-bots, the hand-bots could collectively search the vertical plane in a similar fashion to which the eye-bots search the ceiling plane by forming some kind of communicating network. Alternatively, when the hand-bot density is low, foot-bots could be used as markers to deliniate already explored segments of the plane. Multiple hand-bots might be required to lift long, bendy, or overly heavy objects.
To integrate this proposal into the existing swarmanoid documentation, we propose to extend the existing task and environment complexity matrices as follows.
Task Complexity Parameters:
- Retreive Single Object
- Retre
Environment Complexity Parameters
- Object size
- Object location
- Object type
