We present a compilation-based approach to reducing the representational distance between application domain experts and AI planning technology. The approach combines a representation designed to match the structure of human expertise in the construction industry with an established planning technique. The design of this representation is derived from a study carried out with experts in the ind...

The Action Notation Modeling Language (ANML) provides a high-level, convenient, and succinct alternative to existing planning languages such as PDDL, the IxTeT language, and languages developed at NASA, such as the EUROPA modeling language (NDDL), and the ASPEN modeling language (AML). ANML is based on strong notions of action and state (like PDDL, IxTeT, and AML), uses a variable/value model (...

With growing evidence of deep learning-assisted smart process planning, there is an essential demand for comprehending whether cyber-physical production systems (CPPSs) are adequate in managing complexity and flexibility, configuring the factory. In this research, prior findings were cumulated indicating that interoperability between Internet Things-based real-time logistics monitoring can deci...

Planning in robotics is often split into task and motion planning. The high-level, symbolic task planner decides what needs to be done, while the motion planner checks feasibility and fills up geometric detail. It is known however that such a decomposition is not effective in general as the symbolic and geometrical components are not independent. In this work, we show that it is possible to com...

We present a compilation-based approach to reducing the representational distance between application domain experts and AI planning technology. The approach combines a representation designed to match the structure of human expertise in the construction industry with an established planning technique. The design of this representation is derived from a study carried out with experts in the ind...

Among the underwater robotic systems that are currently available, remotely operated vehicles (ROVs) are the most commonly used underwater robotic systems. A ROV is an underwater vehicle that is controlled from a mother-ship by human operators. Sometimes a ROV is equipped with one or more robotic manipulators to perform underwater tasks. These robotic manipulators are also controlled by human o...

We present a compilation-based approach that combines a formalism designed to match the structure of human expertise in the construction industry with an established planning technique. The domain's modelling requirements are derived from a study carried out with domain experts. This study shows that expertise in the industry is centred on the components of a building organised into a subcompon...

BACKGROUND Optimal applicator insertion is a precondition for the success of cervix cancer brachytherapy (BT). We aimed to assess feasibility and efficacy of MRI-assisted pre-planning, based on applicator insertion in para-cervical anaesthesia (PCA). PATIENTS AND METHODS Five days prior to BT, the pre-planning procedure was performed in 18 cervix cancer patients: tandem-ring applicator was in...