Gestalt Robotics and ESRI are enabling Digital Twins of Environments and Facilities
Autonomous mobility takes the pulse of global competition and enables unprecedented flexibility of logistics and production with regard to constantly changing requirements. In this context, mobile robots and transport systems are currently conquering factories and factory premises. More and more use cases will also arise in public areas in the coming years.
Following the guiding idea of Industry 4.0, autonomous mobile systems are highly networked and in constant information exchange. The use of 5G as a communication technology as well as cloud and edge computing are boosting the perceptual intelligence of mobile robots through advanced powerful AI capabilities. This is where autonomous mobility and sensory intelligence meet environmental maps and geospatial data.
Robotics & AI meet Location Intelligence
Digital environment maps are not only the basis for planning, implementation and optimization of modern production and logistics environments, they also enable autonomous navigation of mobile robots and transport systems. Until now, however, there has been a significant gap between the software landscapes. As a rule, mobile robots do not have map data of their environment available when they are put into operation, and likewise (semantic) information on the current status of the environment is not systematically fed back and evaluated within geo maps.
Thus, great potential for efficiency and effectiveness of mobile robots as well as for spatio-temporal analysis of environments is lost. At the same time, mobile robots will be omnipresent in a few years at the latest and will be equipped with cameras and sensor technology.
Gestalt Robotics und ESRI are connecting their software systems
The cooperation between Gestalt Robotics and Esri systematically closes the gap between these software landscapes. Gestalt Robotics is fusing its robotics semantic maps directly and in realtime into Esri’s geographic information system ArcGIS enabling a seamless bidirectional exchange of spatial-temporal as well as semantic information.
As a result, Digital Twins emerge - up-to-date semantic maps of manufacturing and logistics environments that are both current and historical digital representations of these environments. Thus, existing and novel applications benefit from an extensive information base, especially with respect to making (automated) decisions, even remotely from afar. Furthermore, significant added value for advanced analyses is created on this basis.
Advantages for robotics and autonomous navigation
Geodata and existing map information can be used directly as a basis for self-localization and navigation
A "spatio-temporal" memory is created
Exploitation of new business models: "Mapping as a Service
Advantages for intelligent maps and Digital Twins
Feedback of real-time information from the real environment
Enrichment of maps with semantic information (e.g. detected and localized objects)
Advanced analysis functions and services
Our current video, shot at our 5G testbed for mobile robotics at “Werner-von-Siemens Centre for Industry and Science”, gives a first glimpse of the parallel representation of a mobile inspection case fully synchronized within our NavigateSYS and Esri’s ArcGIS.
Further read (in German)
ESRI Blog-Beitrag WHERE NEXT: KI trifft Geo: Intelligenter Orientierungssinn für Roboter