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》 资源 》论文》grounding abstract spatial concepts for language interaction with robots

grounding abstract spatial concepts for language interaction with robots

2019-11-01 | |  131 |   60 |   0
Abstract with concrete groundings. Crucially, the abstract groundings form a Markov boundary over concrete groundings, effectively de-correlating them from the remaining variables in the graph which reduces the complexity of training and inference in the model. Empirical evaluation demonstrates accurate grounding of abstract concepts embedded in complex natural language instructions commanding a robot manipulator. The proposed inference method leads to significant efficiency gains compared to the baseline, with minimal trade-off in accuracy.

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