To build intelligent manufacturing systems that react flexibly in case of failures or
unexpected circumstances, manufacturing capabilities of production systems must be …

The need for combined task and motion planning (CTAMP) in robotics is well known as
robotic technologies become more mature. The goal of CTAMP is to determine a proper …

Abstract As Artificial Intelligence (AI) planning is utilised in industry to address complex real-
world problems, the need for the construction of advanced and deployable AI planning …

Multiple sclerosis (MS) is the second-most common cause of neurological disability among
young adults. Cognitive impairment, which typically worsens over time, is a major symptom …

The Planning Domain Definition Language (PDDL) is a formal specification language for
symbolic planning problems and domains that is widely used by the AI planning community …

We introduce the PlanX toolbox to support and promote building and integrating AI planning
systems. The prototype toolbox is aimed at researchers and developers who need to build …

A service robot needs integration of symbolic reasoning for high-level task planning and
geometric computation for low-level motion planning to provide services in an everyday …

Hand-encoding PDDL domains is generally considered difficult, tedious and error-prone.
The difficulty is even greater when temporal domains have to be encoded. Indeed, actions …

Real world applications as in industry and robotics need modelling rich and diverse
automated planning problems. Their resolution usually requires coordinated and concurrent …

Virtual reality simulation has had a significant impact on training of psychomotor surgical
skills, yet there is still a lack of work on its use to teach surgical decision making. This is …