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Project Title 34 |
Smart Platform for Robot Management and Coordination with AI powered Cloud (RoboNimbus) EUREKA ITEA3 20231 |
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Name of legal entity |
Country |
Name of client |
Origin of funding |
Dates (start-end) |
Name of consortium members, if any |
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BYS Grup |
Türkiye |
EU – Eureka ITEA Cluster |
EU |
ONGOING 01.01.2021 – 01.01.2024 |
BYS Grup Polonom Robotics; Korean Institute of Robotics & Technology (KIRO); GES Engineering Co., Ltd.; Hytton Technologies AB; Samaratug Ltd.; |
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Detailed description of project |
Type and scope of services provided |
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Usage of robots in manufacturing operations such as material handling applications including material transfer, loading, unloading, processing operations, assembly and inspection are common. In addition to manufacturers, other industries such as healthcare are now recognizing the significant benefits that autonomous mobile robots can offer. During the midst of the global COVID-19 pandemic, robots found to be particularly useful by supporting medical staff and limiting the possibility of virus spread. Robot-led manufacturing plants or field hospitals staffed by robots and other smart [Internet of Things] devices bring the need of smart management and smart decisions to be taken centrally. In RoboNimbus proposal, an AI powered cloud-based management system for corporate robots performing various kinds of duties and services. RoboNimbus is a technology stack and it provides services as “Anything as a service” (XaaS) Cloud model. Various applications and services will also be developed with a special emphasis on artificial intelligence techniques applied to ground mobile robots and manipulators. The management system manages the priorities and selects the most suitable robot(s) to the operation that needs to be carried out, based on capability, position, and availability. The system also monitors the robot health parameters. One of the major challenges for Multi Robot Systems is to design appropriate coordination strategies between the robots that enable them to perform operations efficiently in terms of time and working space. Without AI based techniques, efficiency will drop rapidly as the number and variety of robots utilized increase. In RoboNimbus, AI powered capabilities like SLAM, social navigation, visual recognition, frame-based dialogue management, VR for robotic systems will be developed and provided as services. |
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