EchoBot: Facilitating data collection for robot learning with the Amazon echo

Towards context-aware natural language understanding in human-robot-collaboration

“…Conventional Cartesian movements are much slower because they are less intuitive. Kapida et al observed a decrease in average times in their user study [8]. However, the system they used to compare with the NLUbased system was more complicated and less comfortable to use than the UR robots without language support.…”

“…However, these approaches were based more or less on static language. Kapadia et al [8] used the Amazon Alexa voice assistant to be able to control an industrial robot with natural language without pre-defined keywords. Jungbluth et al [9] also used Amazon Alexa to develop a voice user interface for an industrial robot.…”

Application of Voice Personal Assistants in the Context of Smart University

“…These intents are the core functionality of any skill and are sometimes referred to as features, use cases, or user stories, and have the format "Open [invocation name] for [optional action]", where the invocation name is frequently the skill's name [66,69,70], the voice equivalent to locating the name and icon of a mobile app. Included within the invocation phrase could be found several connecting words (e.g., ask, open, using, from, to, about), such as the launch word, which are defined by Alexa and allow for more natural communication in the interaction [71,72,73]. Furthermore, a slot could also be included in the invocation phrase, defined by the intent as a list of possible arguments passed to a skill through an utterance [71,74,75], similar to a command-line argument or a method parameter, used by skills as spoken inputs.…”