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This paper proposes a method for human-robot (HR) task planning, considering at the same time, the design of the workplace. A model for the representation of humans and robots as a team of active resources is proposed, while equipment such as working tables and fixtures are considered passive resources. The HR workload is structured in a three-level model. A multi-criteria decision-making framework is used for the formulation of alternative layouts and task allocations. Both analytical models and simulation are used for the estimation of the criteria values, allowing for the evaluation of the different alternatives. A software prototype has been implemented and tested in white goods and in automotive industry cases, demonstrating that the tool can identify good quality solutions in a short time frame.

This paper presents the vision and architectures, proposed by the EU project ROBO-PARTNER. The project aspires to the integration of the latest industrial automation systems for assembly operations, in combination with human capabilities. Focus is given to combining robot strength, velocity, predictability, repeatability and precision with human intelligence and skills to get at a hybrid solution that would be involving the safe cooperation of operators with autonomous and adapting robotic systems. The main enablers are: the development of intuitive interfaces for safe human-robot cooperation (HRC), the use of safety strategies and equipment, allowing fenceless human robot assembly cells, the introduction of methods and tools for the efficient planning programming and execution of assembly operations, as well as the use of mobile robots, acting as assistants to human operators. The project also provides a more flexible integration and communication architecture by utilizing a distributed computing model along with ontology services. A pilot case from the automotive industry is used as the ground for developing and testing the aforementioned technologies.

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