| 22 |
Insights from the Women in Combat Symposium
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In: DTIC (2013)
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| 23 |
Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
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In: DTIC (2013)
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| 24 |
Interacting with Multi-Robot Systems Using BML
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In: DTIC (2013)
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Abstract:
Using a multi-robot system in military operations poses many control problems. Thus, the ability to formulate clear and unambiguous commands for the robots is extremely desirable. To ensure that the operator expresses clearly what needs to be done, we use Battle Management Language (BML) to command multi-robot systems. BML was developed by the military research community to express short, unambiguous orders readable by both humans and machines. BML allows the operator to command the multi-robot system using a single controller on a mobile device (e.g., a tablet). We use BML reports to send information from the robots to the BML-Graphical User Interface (GUI). Position information, operational status, task status, and information about detected units are directly transformed into BML reports. The robots also report binary data such as images, video, or lidar data. These data cannot be translated into BML because BML is limited to textual messages. Instead, the data are converted into another XML format. After conversion, they are sent to the GUI and can be stored in a central database so that other (superordinate) C2 systems can make use of it. This article presents an overview of the BML communication architecture, the BML language and the commands that can be given to robots using BML, and the BML reports system. ; Presented at the 18th International Command and Control Research and Technology Symposium (ICCRTS) C2 in Underdeveloped, Degraded and Denied Operational Environments held in Alexandria, VA, on 19-21 June 2013. U.S. Government or Federal Rights License.
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Keyword:
*BATTLE MANAGEMENT LANGUAGE; *COMMAND AND CONTROL SYSTEMS; *INTERACTIONS; *LANGUAGE; *MILITARY OPERATIONS; *MULTI-ROBOT SYSTEMS; *MULTIAGENT SYSTEMS; *OPERATORS(PERSONNEL); *ROBOTS; BRIEFING CHARTS; Command; Control and Communications Systems; Cybernetics; DRONES; FOREIGN REPORTS; GERMANY; GRAPHICAL USER INTERFACE; GROUND VEHICLES; HUMAN-ROBOT INTERACTIONS; HUMANS; Linguistics; Military Operations; MOBILE COMPUTING; OPERATING SYSTEMS(COMPUTERS); REPORTS; ROS(ROBOT OPERATING SYSTEM); Strategy and Tactics; SYMPOSIA; UAV(UNMANNED AERIAL VEHICLES); UGV(UNMANNED GROUND VEHICLES); UNMANNED
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA588390
http://www.dtic.mil/docs/citations/ADA588390
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| 25 |
Making Semantic Information Work Effectively for Degraded Environments
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In: DTIC (2013)
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| 26 |
Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
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In: DTIC (2013)
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| 28 |
QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
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In: DTIC (2012)
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| 30 |
Phoneme Class Based Adaptation for Mismatch Acoustic Modeling of Distant Noisy Speech (Preprint)
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In: DTIC (2012)
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| 31 |
Conference Report: Cultural and Linguistic Advancement for Mission Success: Enhancing Language, Regional and Cultural Capabilities Across Whole of Government for an Effective COIN Strategy
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In: DTIC (2012)
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| 33 |
Machine Recognition vs Human Recognition of Voices
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In: DTIC (2012)
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| 34 |
Speaker Clustering for a Mixture of Singing and Reading (Preprint)
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In: DTIC (2012)
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| 35 |
Applications of Lexical Link Analysis Web Service for Large-Scale Automation, Validation, Discovery, Visualization, and Real-Time Program-Awareness
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In: DTIC (2012)
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Compressed Domain Automatic Level Control Based on ITU-T G.722.2
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In: DTIC (2012)
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| 37 |
Integrating Hard and Soft Information Sources for D2D Using Controlled Natural Language
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In: DTIC (2012)
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SAWUS: Siena's Automatic Wikipedia Update System
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In: DTIC (2012)
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| 39 |
Aligning Learning Capability with Strategy: A Training Needs Assessment (TNA) Case Study
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In: DTIC (2012)
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Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter
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