Since March 2016 the research department of Agents an Simulated Reality together with the Innovative Retail Lab and partners from other research institutions and from industry is developing intelligent added value services in the field of building automation.
Fastlane solves these problems by combining the results of two successful projects, Xflow and shade.js, to provide a compiler-driven adaptive data-flow-programming framework for parallel data processing on the web.
The Visualization Framework was developed in a cooperation between the University of Stuttgart and the DFKI. The highly customizable web-based open-source framework allows to connect to different web services, and to analyze the data with a large variety of interactive visualizations that are connected via brushing and linking. The web-based applications created with the framework run on multiple devices such as smartphones, tablets, desktop computers and large display walls.
An interactive live demo can be found here: https://github.com/cimplex-project/visualization-framework
A interactive live demo can be found here: https://cimplex-project.github.io/cimplex-globe.
The GLEAMViz web service hosts simulation data in various formats. All of them contain compressed binary data for fast data exchange and that needs to be decoded on the client in order to be processed and visualized. By using parallel data processing the decoding time can be greatly reduced. Thus,the library offers decoders for GLEAMViz from ISI and agent based model datasets from ISI and FBK, including movement data from the DFKI.
We also have developed a configurator application that tremendously reduces the time to configure and deploy a custom version of the visualization framework including all data and simulation services. Based on a web page URL, a user is now able to select, which views, data and simulation services he wants to include in his custom deployment. The server backend then creates a unique executable file depending on the selections, and offers it for downloading. The downloaded executable, based on node.js and Docker, then fully automatically installs all dependencies, including data and simulation services, locally on the client machine. By using Docker, the installation is isolated and does not affect or modify the client host system. The configurator creates executables for Windows, Mac OSX and Linux.
- Title: Bringing of Citizen, model and Data together in Participatory, Interactive Social Exploratories
- Run Time: 01.01.2015 – 31.12.2017
- FET Proactive Global Systems Science (GSS)
- Grant agreement no: 641191
- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Germany
- Eidgenössische Technische Hochschule Zürich, Switzerland
- Universität Stuttgart, Germany
- University College London, United Kingdom
- Közép-európai Egyetem (Central European University), Hungary
- Fondazione Istituto per l’Interscambio Scientifico, Italy
- Consiglio Nazionale delle Ricerche, Italy
- Fondazione Bruno Kessler, Italy
- Video Globe
Hybrid and intelligent human-robot collaboration – hybrid teams in versatile, cyber-physical production environments
The aim of the Hybr-iT joint research project funded by the Federal Ministry of Education and Research (BMBF) is to build and test hybrid teams of humans and robots working together with software-based assistance systems in intelligent environments in industrial manufacturing. Based on a holistic approach to the various disciplines of human-robot collaboration, intelligent planning and simulation environments, assistance systems and knowledge-based robotics, workers in the production process are supported by robots in such a way that this intensive human-robot cooperation is convenient, safe and efficient.
Hybr-iT researches and evaluates the components required for planning and optimizing hybrid teams in an industrial context – in terms of their integration in existing IT and production systems and as necessary for their control in a production operation. From an IT perspective, this will involve heavily distributed systems with very heterogeneous subsystems (such as plant and robot controls, safety, logistic, database, assistance, tracking, simulation, and visualization systems), which are implemented together in a comprehensive resource oriented architecture (ROA). ASR contributes to the ROA and develops the simulation environment for hybrid human-robot teams, using AJAN and Motion Synthesis.
The Hybr-iT project is funded by the Federal Ministry of Education and Research.
Ansprechpartner: Ingo Zinnikus
A short video introducing the Guided Autonomous Building project results.
AJAN (Access Java Agent Nucleus) is a modular agent web service which integrates different AI technologies in an intuitive way for creating autonomous systems. The main goal of the development is to address a heterogeneous community with an easy to use, flexible and powerful AI tool for different domains, such like 3D simulations, programmable web or home automation. AJAN is in use for different virtual reality applications, such as pedestrian or shop floor simulations (in the context of Industrie 4.0) in which multiple autonomous 3D entities has to be controlled.
Continue reading AJAN
ATLAS (which stands for “Advanced Three-dimensional Large-scale Asset Server”) is a system for storage and conversion of polygonal 3D models. It offers a REST interface to add and retrieve models, where HTTP content negotiation is used to determine the input and output format(s).
COMPASS (“Collaborative Modular Prototyping And Simulation Server”) is a framework for developing web applications with which elements of 3D scenes can be arranged and end enriched with metadata.
Hybrid Social Teams for Long-Term Collaboration in Cyber-Physical Environments
HySociaTea is short for Hybrid Social Teams for Long-Term Collaboration in Cyber-Physical Systems. In this project, funded by the German Ministry for Education and Research, the German Research Center for Artificial Intelligence (Deutsches Forschungszentrum für Künstliche Intelligenz – DFKI) investigates how teams of humans, robots and software agents (i.e. virtual characters and softbots) can work collaboratively in a production scenario.
Many large-scale real-world problems, such as effective disaster response, the careful dismantling of contaminated structures or the efficient manufacturing and construction of complex artifacts, require the coordination of such teams of humans, robots, and software agents to accomplish the collection of challenging tasks. It is well known that more can be achieved through teamwork in a shorter timeframe and at a higher quality than by individual performance. Our vision of effective hybrid social teams of humans, robots and software agents working together seamlessly in dynamic cyber-physical environments can only be achieved by combining the research excellence and experience of eight DFKI research departments located at the three main sites (Bremen, Kaiserslautern, Saarbrücken) in a joint effort. HySociaTea is thus a collaborative grand challenge project, which combines the diverse DFKI competencies in a wide spectrum of subfields of Artificial Intelligence to address a fundamental research goal in the area of intelligent interacting agents.
The envisioned characteristics of hybrid social teams of physical and virtual agents imply the following fundamental research challenges:
- Distributed problem analysis and task allocation based on skills, knowledge and experience
- Sharing goals, plans as well as intentions and coordinating plan execution
- Understanding all physical and communicative interactions of all team members
- Developing social group behavior and emotional coherence
- Building mutual trust and demonstrating accountability for the assigned subtasks
- Compensating weaknesses of individual team members by empathetic help
Project Homepage: http://hysociatea.dfki.de/
Contact: Ingo Zinnikus
Das vom Bundesministerium für Bildung und Forschung (BMBF) geförderte Projekt HySociaTea (Hybrid Social Teams for Long-Term Collaboration in Cyber-Physical Environments) realisiert und untersucht die Zusammenarbeit von technologisch unterstützten Menschen mit autonomen Robotern, virtuellen Avataren und Softbots, die zusammen in einem Team gemeinsame Aufgaben lösen sollen.
Im Zusammenhang mit dem Zukunftsprojekt Industrie 4.0 ermöglichen diese hybriden Teams z.B. eine flexible Produktion, in der auch auf ungeplante Ereignisse durch eigenständige Reorganisation des Teams reagiert werden kann. Neben der Erforschung der reinen technischen Grundlagen, liegt der Schwerpunkt auch auf der Entwicklung von robotischen Teamkompetenzen, sowie auf intelligentem Multi-Agenten-Verhalten, welche auch wichtige Aspekte in rein menschlichen Teams sind. Technische Systeme sollen hier vor allem als Assistenzsystem für den Menschen in der Produktion eingesetzt werden – die Roboter müssen also als Partner im Gesamtprozess wahrgenommen werden.
Der in HySociaTea entwickelte und untersuchte hybride Teamaufbau kann auf lange Sicht in unterschiedlichen realen Herausforderungen eingesetzt werden, z.B. bei modularen Produktionsanlagen in der Fabrik der Zukunft, als Rettungsteam bei Katastrophenszenarien, oder bei der notwendigen Arbeitsteilung zwischen Menschen und Maschinen beim sicheren Rückbau von Atomkraftwerken.
Zur Realisierung des Projekts bündeln verschiedene Fachbereiche aus allen DFKI-Standorten (Bremen, Kaiserslautern, Saarbrücken) ihre Kompetenzen:
- RIC (Robotics Innovations Center, DFKI Bremen): autonome und kooperative Robotersysteme, mobile Manipulation
- CPS (Cyber-Physical Systems, DFKI Bremen): sichere Mensch-Roboter Interaktion
- EI (Embedded Intelligence, DFKI Kaiserslautern): technische Einbindung des Menschen, tragbare Sensorik
- AV (Augmented Vision, DFKI Kaiserslautern): Perzeptionsmodule mittels Bildverarbeitung und Sensorfusion
- KM (Knowledge Management, DFKI Kaiserslautern): blickgesteuerte Aufmerksamkeitserkennung, Realzeit-Objekterkennung
IUI (Intelligent User Interfaces, DFKI Saarbrücken): emo-soziale virtuelle Charaktere, multimodale Dialogplattform
- LT (Language Technology Lab, DFKI Saarbrücken): autonome Teamreorganisation, Sprachinteraktion
- ASR (Agents and Simulated Reality, DFKI Saarbrücken): Kommunikations-Middleware, Dual Reality
HySociaTea wird gefördert durch das Bundesministerium für Bildung und Forschung (BMBF) unter Förderkennzeichen 01IW14001.
Project Homepage: http://hysociatea.dfki.de/
Ansprechpartner: Ingo Zinnikus
In Guided AB researchers team up with industry to jointly develop innovative concepts for a flexible building automation and home networking in the context of smart homes. The objective of Guided AB is to create a flexible, easily configurable, and efficient system which is able to integrate existing solutions.