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cs.RO2018
Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context
Rohan Paul, Andrei Barbu, Sue Felshin +2
A robot's ability to understand or ground natural language instructions is fundamentally tied to its knowledge about the surrounding world. We present an approach to grounding natu…
cs.RO2018
Deep sequential models for sampling-based planning
Yen-Ling Kuo, Andrei Barbu, Boris Katz
We demonstrate how a sequence model and a sampling-based planner can influence each other to produce efficient plans and how such a model can automatically learn to take advantage…