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Content archived on 2024-04-16

Mobile Autonomous Robot in an Industrial Environment

Objective

The objective of this project is to develop integrated hardware and software systems to give autonomy to a class of robot vehicles and manipulators in an environment, parts of which can change dynamically.
Combining the strong points of both control engineering and artificial intelligence (AI) approaches, this project centres on the development and testing of an information framework, a perception and control model, and a decision system based thereon using a combination of symbolic and numerical techniques. Two testbeds are being developed, the first focusing on the path finding and manoeuvring capabilities of the robot vehicle, and the second highlighting the object recognition and flexible response capabilities required in a diagnostic data acquisition task.
A key issue within the project is the development and testing of an information framework called the Perception and Control Model. Based on this model, the decision system uses a combination of symbolic and numeric techniques, thus combining the strong points of both control engineering and artificial intelligence approaches. The combination of the two approaches will be demonstrated in two distinct testbeds. The first emphasises path-finding and coarse manoeuvring capabilities in a robot vehicle, the second highlights coarse and fine manoeuvres as well as flexible mission planning, as required in a diagnostic data acquisition task.

The integration of symbolic and numeric models will enable these systems to meet the major requirements of the control system:

- understanding a complex environment
- manoeuvring in non-exceptional situations
- supervising tasks, and decision making in unpredicted or degraded situations.

The techniques and components developed by the project are foreseen to have applications in mobile robots used within CIM installations and in hostile environments, e.g. the storage of nuclear waste products or other poisonous, inflammable or explosive materials, and the dismantling of nuclear power-plants. Automotive applications are also anticipated, for example in subsystems assisting the driver in dangerous situations or in taking over tedious driving tasks.

The industrial challenge of both test-beds is to perform complex missions in an autonomous and reliable way, using a combination of sensors to realise a robust system with affordable components.

Programme(s)

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Topic(s)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

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Coordinator

VOLMAC NEDERLAND BV
EU contribution
No data
Address
DALTONLAAN, 200-300, 2575
3500 GN UTRECHT
Netherlands

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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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Participants (8)