HySociaTea
Hybrid Social Teams for Long-Term Collaboration in Cyber-Physical Environments
The project HySociaTea is a cooperation between various research departments at DFKI GmbH combining the competencies of the complete spectrum of Artificial Intelligence. HySociaTea is an R&D project which is embedded in the future strategy Industry-4.0 and deals with the development of flexible production and mission processes. The basic idea in HySociaTea is that the production environment of the future will consist of a team of humans closely collaborating with robots and virtual agents. The team can flexibly react to incoming requirements. The project establishes the basis for such a team by considering setup, communication and role allocation in such a hybrid team.
Duration: | 01.09.2014 till 31.08.2016 |
Donee: | German Research Center for Artificial Intelligence GmbH |
Sponsor: | Federal Ministry of Education and Research |
Grant number: | This project is funded by the German Federal Ministry of Education and Research (BMBF), grant no. 01IW14001. |
Application Field: | Assistance- and Rehabilitation Systems |
Related Projects: |
SemProM
Semantic Product Memory
(02.2008-
01.2011)
|
Related Robots: |
AILA
Mobile Dual-Arm-Manipulation
COMPI
Compliant Robot Arm
|
Project details
In the context of Industry 4.0, an example application for these hybrid social teams is the realization of a highly flexible production, in which the team can react on unplanned events by autonomous reorganization. Besides research on the technical feasibility, another key aspect of the project lies in the development of robotic team-competencies as well as on intelligent multi-agent behavior, both of which are also important aspects in purely human teams. The technical systems developed in HySociaTea are mainly meant to be used as assistance-systems for humans working in production-plants – the robots should therefore be perceived as partners in the overall working-process.
On the long run, the team organization, as developed and examined in HySociaTea, can be used in different real-world scenarios, e.g. in modularized production facilities in the factory of the future, as rescue teams in emergency situations, or to realize the necessary division of labor between humans and machines to safely deconstruct nuclear power plants.
In order to realize the vision of HySociaTea, different research departments from all DFKI locations (Bremen, Kaiserslautern, Saarbrücken) join their competencies:
- RIC (Robotics Innovations Center, DFKI Bremen): autonomous and cooperative robotic systems, mobile manipulation
- CPS (Cyber-Physical Systems, DFKI Bremen): safe human-robot interaction
- EI (Embedded Intelligence, DFKI Kaiserslautern): augmented humans, wearable sensors
- AV (Augmented Vision, DFKI Kaiserslautern): perception modules using image processing and sensor fusion
- KM (Knowledge Management, DFKI Kaiserslautern): gaze-controlled perception recognition, real-time object-recognition
- IUI (Intelligent User Interfaces, DFKI Saarbrücken): emosocial virtual characters, multimodal dialog platform
- LT (Language Technology Lab, DFKI Saarbrücken): autonomous team-reorganization, natural speech interaction
- ASR (Agents and Simulated Reality, DFKI Saarbrücken): communication middleware, Dual Reality
Videos
HySociaTea: Selected features from the final project demonstration
This video shows selected technologies of the HySociaTea scenario: the any-time resource planner, the object recognition using the information from the eye tracker, speech interaction with the robots and the virtual character, autonomous task allocation of the robots and autonomous robot-robot interaction.
HySociaTea: Autonomous robot-robot collaboration of Compi and AILA
This video shows the autonomous robot-robot collaboration in HySociaTea using the TECS framework. The Compi robot takes item to be delivered and reports that a delivery is required. AILA recognizes that she can handle the task and takes over. The handover is realized using a communication protocol.
HySociaTea: Customized Packaging Scenario
The Video illustrates the first demo setting and procedure with the Hybrid Team.