Behavioral Indoor Navigation With Natural Language Directions
Autor: | Alvaro Soto, Xiaoxue Zang, Silvio Savarese, Marynel Vázquez, Juan Carlos Niebles |
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Rok vydání: | 2018 |
Předmět: |
Structure (mathematical logic)
0209 industrial biotechnology Sequence Computer science 05 social sciences Geometric representation 02 engineering and technology 050105 experimental psychology Human–robot interaction Nonverbal communication 020901 industrial engineering & automation Human–computer interaction Robot 0501 psychology and cognitive sciences Natural language |
Zdroj: | HRI (Companion) |
DOI: | 10.1145/3173386.3177001 |
Popis: | We describe a behavioral navigation approach that leverages the rich semantic structure of human environments to enable robots to navigate without an explicit geometric representation of the world. Based on this approach, we then present our efforts to allow robots to follow navigation instructions in natural language. With our proof-of-concept implementation, we were able to translate natural language navigation commands into a sequence of behaviors that could then be executed by a robot to reach a desired goal. |
Databáze: | OpenAIRE |
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