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    Teaching robots about human environments: Leveraging human interaction to efficiently learn and use multisensory object affordances 

    Chu, Vivian (Georgia Institute of Technology, 2018-01-09)
    The real world is complex, unstructured, and contains high levels of uncertainty. Although past work shows that robots can successfully operate in situations where a single skill is needed, they will need a framework that ...
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    EvalAI: Evaluating AI systems at scale 

    Deshraj (Georgia Institute of Technology, 2018-12-06)
    Artificial Intelligence research has progressed tremendously in the last few years. There has been the introduction of several new multi-modal datasets and tasks due to which it is becoming much harder to compare new ...
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    Incremental design revision in biologically inspired design 

    Wiltgen, Bryan Joseph (Georgia Institute of Technology, 2018-11-09)
    Design is the process by which solutions get developed to solve social challenges, and its products can be seen across our world from toothbrushes to computers to spaceships. Conceptual design is an early phase of design ...
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    Interpretation, grounding and imagination for machine intelligence 

    Vedantam, Shanmukha Ramak (Georgia Institute of Technology, 2018-11-08)
    Understanding how to model computer vision and natural language jointly is a long-standing challenge in artificial intelligence. In this thesis, I study how modeling vision and language using semantic and pragmatic ...

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    AuthorChu, Vivian (1)Deshraj (1)Vedantam, Shanmukha Ramak (1)Wiltgen, Bryan Joseph (1)Subject
    Artificial intelligence (4)
    Machine learning (3)Computer vision (2)Adaptable controllers (1)Affordance learning (1)Analogical mapping (1)Biologically inspired design (1)Conceptual design (1)Data science (1)Deep learning (1)... View MoreDate Issued
    2018 (4)
    Has File(s)Yes (4)
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