This 'research preview' paper introduces an adaptive path planning framework for robotic mission execution in assistive-care applications. The provides a graph-based environment modelling approach, with dynamic finding performed using Dijkstra's algorithm. A predictive module that uses probabilistic model checking is applied to estimate the human's movement through environment, allowing run-tim...

This research project developed an adaptive stochastic optimisation approach for multi-period production scheduling in open-pit mines under geological uncertainty, and compared it to existing two-stage method. new rolling-horizon updates the model each time period as information becomes available. Numerical tests carried out earlier on open-pits of different sizes showed that, average, policy g...

A generic planning system is introduced which allows for custom building of planners able to generate plans for diierent plan consumers in the context of intelligent assistance systems. All planners are adapted to the peculari-ties of diierent plan consumers, to their domain knowledge, their typical behavior, their preferences, and their utilization of plans. The necessary knowledge sources of ...

Path planning is often a high-dimensional computationallyexpensive planning problem as it requires reasoning about the kinodynamic constraints of the robot and collisions of the robot with the environment. However, large regions of the environment are typically benign enough that a much faster low-dimensional planning combined with a local path following controller suffice. Planning with Adapti...