Representing and learning affordance-based behaviors
Autonomous robots deployed in complex, natural human environments such as homes and offices need to manipulate numerous objects throughout their deployment. For an autonomous robot to operate effectively in such a setting and not require excessive training from a human operator, it should be capable...
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| Format: | Others |
| Language: | en_US |
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Georgia Institute of Technology
2014
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| Online Access: | http://hdl.handle.net/1853/51835 |