[Documentation] [TitleIndex] [WordIndex

Package Summary

Package providing a ROS node for interacting with Amazon Lex

  • Maintainer status: maintained
  • Maintainer: AWS RoboMaker <ros-contributions AT amazon DOT com>
  • Author: AWS RoboMaker <ros-contributions AT amazon DOT com>
  • License: Apache 2.0
  • Source: git https://github.com/aws-robotics/lex-ros1.git (branch: master)

Package Summary

Package providing a ROS node for interacting with Amazon Lex

  • Maintainer status: maintained
  • Maintainer: AWS RoboMaker <ros-contributions AT amazon DOT com>
  • Author: AWS RoboMaker <ros-contributions AT amazon DOT com>
  • License: Apache 2.0
  • Source: git https://github.com/aws-robotics/lex-ros1.git (branch: master)

Overview

The ROS lex_node node enables a robot to comprehend natural language commands by voice or textual input and respond through a set of actions, which an Amazon Lex Bot maps to ROS messages. Out of the box this node provides a ROS interface to communicate with a specified Amazon Lex bot (configured via lex_config.yaml) and requires configuration of AWS credentials. The Amazon Lex bot needs to be defined with responses and slots for customer prompts. A set of default slots and mappings are demonstrated in the sample app and include actions as “Create <location_name>,” “Go to <location_name>” and “Stop.” Additional guides on configuring bots with are available at Getting Started with Amazon Lex.

Delivering a voice-enabled customer experience (e.g. “Robot, go to x”) will require dialog facilitation, wake word, and offline processing which are not yet provided by this integration. A wake word would trigger the dialog facilitation node to start recording and send the audio to Amazon Lex, then prompt the user for more information should Amazon Lex require it.

The ROS lex_node wraps the aws-sdk-c++ in a ROS service API.

Amazon Lex Summary: Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionality of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”).

License

The source code is released under an Apache 2.0.

Supported ROS Distributions


2019-10-19 12:52