Pioneering factory solutions
Gestalt Robotics is the innovation service provider for industrial automation. Through AI, we support the transformation towards efficient and flexible systems.
Individual needs in different industries require customized concepts. We consult and develop personalized automation solutions with our technology services that are both modular and scalable. Benefit from our experience and our extensive technology portfolio.
Networking & Virtualization
Communication is the key to intelligent automation. We support 4G and 5G networks, as well as standardized solutions and industrial interfaces. Distributed systems using container technology as well as cloud and edge computing are central to our workflow.
Machine learning methods are potent tools for adaptivity and reliability. We develop innovative solutions that unify the advantages of classic data approaches and AI. Benefit from the maximum added value at the intersection of time, quality, and cost.
With our focus on production automation and mobility, the success of our applications is rooted in our in-depth domain knowledge and comprehensive understanding of the needs of our customers.
AI-based Computer Vision
Intelligent image processing guarantees a reduction in costs and rejection rates rates. Benefit from the competitive advantage that AI-based analysis has to offer for both automated and manual processes.
We develop and integrate tailor-made 2D and 3D image processing systems using both well-established and cutting-edge machine-learning methods — enabling application-specific automation.
Modern industrial robots broaden the spectrum of their capabilities with the help of sensors and AI. Intelligent networking following Industry 4.0 reaps the additional value and potential for optimization.
We implement agile robotics solutions that use AI to adapt to changing requirements. Our robotics solutions operate on cloud-based servers, making our applications fully modular and scalable.
Autonomous mobility must adapt to the changing demands set by the pulse of global competition. Profit from autonomous intralogistics, the guiding principles of which stem from Industry 4.0 and free time and capital.
We realize tailor-made applications of autonomous logistics and mobile robotics with the help of our mobility platform: scalable, vendor-independent, and compatible with existing IT and M2M communication.
Adaptive Assistance Systems
Sustainable integration of workers into increasingly complex workflows is the key to success in times of demographic change and high demand for technical specialists.
We develop hybrid work systems for production and mobility, providing adaptive physical or cognitive support for human labor: efficient, ergonomic, and, if necessary, individually adapted and connected according to the needs of the client.
Modular Technology Portfolio
The scalable implementation and integration of our automation solutions are enabled by the seamless interaction of individual technology modules. We build and connect efficient, bespoke solutions using powerful modular technologies and our extensive experience interfacing these.
Communication & Middleware
We support modern microservice architectures and network them using standardized interfaces, efficient data management, and real-time optimization. We support, among other things, OPC UA, ROS, ROS2, Time Sensitive Networking, and Fieldbus systems.
Industrial Cloud & Edge Computing
Our scalable automation solutions ensure maximum flexibility and performance. We provide support with industry-standard provisioning of virtual computing resources from the Public or Factory Cloud and Edge.
Continuous Delivery & DevOps
We operate with Continuous Delivery, using tools that ensure the automated provision of software of the highest quality. In addition to container technologies such as Docker, we support test automation and overcome operational discrepancies between the development and scaled operation of automation systems.
4G & 5G Campus Networks
In addition to wireless connections in accordance with industrial Wifi standards, we utilize 4G and 5G campus networks for reliable wireless communication in industrial environments. Together with our partners, we implement low latency and high bandwidth communication solutions for highly networked industrial environments.
We have an extensive network of innovation partners and customers. Our portfolio below demonstrates some of our innovative solutions and collaborations as well as selected projects.
Partners & Networks
Cloud-based control of mobile transport systems for OSRAM
Together with Deutsche Telekom and the Fraunhofer IPK, we implement reliable, cloud-based control of mobile autonomous transport systems. The combination of mobile networks and edge computing creates one of the first 4G dual-slice campus networks in Germany for the end-user OSRAM. The entire control architecture is offloaded to virtualized infrastructures with low-latency, while safety features are maintained locally on the robots. This novel approach has now been CE-certified and is in industrial operation.
The goal of the collaborative, BMBF-funded project INTUITIV, is to develop and test novel, intuitive modes of communication between humans and autonomous robots for rehabilitation purposes.
We are developing context-based independent navigation solutions for mobile robots and transport systems. We also provide a dedicated distributed control and service platform.
Edge-Case with mobile Edge X
In collaboration with MobiledgeX, we are testing the flexible, network-integrated edge connectivity of AI services for improved spatial perception of mobile robots and transport systems in industrial settings. By offloading computer-intensive AI services, we significantly increase the capability and performance of mobile systems. Other benefits include overall cost reduction, automated wireless updates, seamless remote diagnostics, and an improved and simplified design.
The objective of DIN SPEC 92001-1 is to ensure the quality of AI methods with a unified validation protocol. We provided insights to the standardization consortium to help define a meta-model for quality assurance. The model contains relevant quality control elements for industrial applications of AI. Consequently, this holistic approach considers the entire life cycle of AI models.