Using Event Representations to Generate Robot Semantics
نویسندگان
چکیده
منابع مشابه
Using Semantics Specified in Maude to Generate Test Cases
Testing is one of the most important and most time-consuming tasks in the software developing process and thus techniques and systems to generate and check test cases have become crucial. For these reasons, when specifying a prototype of a programming language it may be very useful to have a tool that, beyond testing the semantics of the program, generates test cases for the programs written in...
متن کاملUsing Perlin Noise to Generate Emotional Expressions in a Robot
The development of social robots that convey emotion with their bodies—instead of or in conjunction with their faces— is an increasingly active research topic in the field of humanrobot interaction (HRI). Rather than focusing either on postural or on dynamics aspects of bodily expression in isolation, we present a model and an empirical study where we combine both elements and produce expressiv...
متن کاملUsing Event Semantics for Modeling Contracts
Currently a number of these on-line support systems for electronic contracting are under development. In this paper we develop a logical formalism to represent the content of business contracts. This formalism can be used to develop applications that can automatically negotiate and process contracts, or it can be used to develop online help systems that explain to the human negotiator what for ...
متن کاملBayesian Representations Using Chain Event Graphs
Bayesian networks (BNs) are useful for coding conditional independence statements between a given set of measurement variables. On the other hand, event trees (ETs) are convenient for representing asymmetric structure and how situations unfold. In this paper we report the development of a new graphical framework for discrete probability models called the Chain Event Graph (CEG). The class of CE...
متن کاملCooperative Robot Localization Using Event-triggered Estimation
This paper describes a novel communication-spare cooperative localization algorithm for a team of mobile unmanned robotic vehicles. Exploiting an event-based estimation paradigm, robots only send measurements to neighbors when the expected innovation for state estimation is high. Since agents know the event-triggering condition for measurements to be sent, the lack of a measurement is thus also...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM Transactions on Human-Robot Interaction
سال: 2019
ISSN: 2573-9522
DOI: 10.1145/3341167