Objectives
The main objective is to manage and coordinate the project's technical, financial and administrative aspects. Concretely the goals are to:
Manage the project in a result-oriented manner to ensure the fulfilment of the whole project objectives within budget and scheduled timescales.
Coordination: Comprehensive coordination with the intention of achieving the day to day operation and the implementation of the goals defined in the Project Plan.
Management of legal aspects: Identification of legal issues and establishing a common framework for collaboration with partners, independent subcontractors and suppliers.
Management of financial aspects: Management of activities related with the administration and financing of project tasks. A financial monitoring of actual vs. planned effort, and actual vs. planned expenditures will be internally maintained.
Management of quality aspects: Different quality procedures will be implemented to guarantee the scope of the objectives in each WP, task, deliverables and milestones. Information Exchange. Process of transferring and disseminating project results to wider distribution among more people and places.
Objectives
The main objective is to determine the use cases on how to use the robotic platform and to derive its requirements to fulfill its duties in the target operational environment.
The concrete goals are:
This WP focuses on the elicitation of requirements from user's and technical point of view. On the one hand, we will obtain the requirements of the use cases focusing on users and assets point of view in order to have a clear understanding on how to integrate the detection solutions within complex environments and specific needs such as response, availability, etc. On the other hand, we will do a technical analysis of technologies and solutions used in these environments and their interaction with the system.
Objectives
The outcome of this work package will be an overview of the project and a concrete business plan for how to commercialize and create awareness around the product for potential customers. The purpose of this task is to develop the dissemination strategy that would be used in the course of the project. Project partners will regularly disseminate information regarding their progress in software/hardware development through the project website. Project partners may also participate in conferences and exhibitions to promote the project outputs. The followings will be the key elements within the dissemination strategy.
Project website: It will be available on the 2nd month of project implementation period and will be used as one of the main tools of dissemination and interaction with the public seeking information about our product.
Social media channels: Twitter, Facebook and LinkedIn, will be used for communication of project activities and results and, in particular, engage the general public and media. We will also use the product web site and social media networks to highlight project progress, upcoming events and publications.
Events/workshops and seminars: To increase networking opportunities, we will seek a presence at major events. The project team will make the best effort to participate in associated community events, conferences, workshops and trade shows. Also, we will attempt to reach maximum impact through giving talks, organizing sessions and contributing in similar ways. We are planning to attend at least 3 events (conferences, B2B and B2C meetings) in EU level during the project.
The work package requirement is to develop the RoboNimbus Management Platform. Primary focus is to build multi-tenant backend application infrastructure and signal /stream processors with biz orchestration, Web applications, Onboarding, Automation, Cross-platform mobile applications and Performance monitoring systems.
It was proposed to design and implement a production grade data path between the devices and software application for the end users. The plan is to design a working prototype in an attempt to provide a user experience with real time data path from devices to application.
The idea is to onboard more users and devices without compromising security and start creating safer, more accessible customer experiences. Decentralized, encrypted storage facilitates near-instant autonomous transactions securely. We are planning to make this Interoperable, which means Integrate with any app or website. We provide API libraries in all popular languages & frameworks. Assures Seamless transitions to smartphone devices to manage the entire workflow effectively across various platforms.
The end-to-end security of the communication has to be ensured and also local statutory requirements on the storage and data security have to be adhered to. Privacy and security are built in with data encrypted in transit and at rest and stored securely. The whole system needs to be validated before moving to production.
The cloud infrastructure helps the sensor devices easily and securely connect with the cloud and help applications interact with devices from anywhere, in real time. The infrastructure is production grade and can support billions of devices and send trillions of messages/data, and can process in real time.
Objectives
To enable robots to perform human level tasks flexibly in different environments, we need efficient control and management frameworks. In this work package (WP5) we will develop robot manipulation algorithms with local (edge) and cloud computing technology for real-time and non-real time learning jobs respectively. For this purpose, it is important to balance edge computing and cloud computing technologies. At first, we will develop technology that can integrate contents and robot motion information through works combined with VR/MR technology for human interaction. Furthermore, we will develop a seamless co-manipulation algorithm to ensure the cooperative works between robots.
In this work package (WP5) we will develop a Human Augmentation System using MR (Mixed reality) technology. Human Augmentation System will monitor the status of remote site and control the action of robot via human-robot interaction. Robot can implement the collaborative work with human or with another robot by the command of human who is present in remote place.
Objectives
Objectives
Machine learning can help robots learn new skills by finding patterns in data, but it can take a lot of time and examples for them to do something seemingly simple such as grasping. If we want robots to be effective teammates that can help increase our productivity, efficiency, and even quality of life, then we need them to continuously learn complex tasks reliably and quickly. What if we could give them a hand when they need it, so they could learn more effectively?
The person only needs to provide demonstrations when the robot can't do the task on its own, and they only need to provide examples of successful grasps - the robot finds its own examples of failed grasps. This team structure allows the robot to learn faster by strategically leveraging human experience in the continuous learning process.
In WP7, a master-apprentice model of learning that combines self-supervision with learning by demonstration will be studied. A robot learns to grasp on its own by repeatedly trying to pick up a bottle. But if it can't find a good grasp using its current model, it asks a person for help. The person is supervising the robot in a virtual reality (VR) control room, and they can take control of the robot to provide grasping demonstrations. The robot learns from these demonstrations, and then continues learning on its own. This allows the robot to learn faster and keeps the person's workload reasonable.
