Autonomous robots facing a diversity of open environments and performing a variety of tasks
and interactions need explicit deliberation in order to fulfill their missions. Deliberation is …

Planning for real world problems with explicit temporal constraints is a challenging problem.
Among several approaches, the use of flexible timelines in Planning and Scheduling has …

Distributed applications running inside cloud systems are prone to performance anomalies
due to various reasons such as resource contentions, software bugs, and hardware failures …

The consequences of autonomous systems software failures can be potentially dramatic.
There is no need to darken the picture, but still, it seems unlikely that people, insurance …

Autonomous robots are complex systems that require the interaction or cooperation of
numerous heterogeneous software components. Nowadays, robots are getting closer to …

A planning and scheduling (P&S) system takes as input a domain model and a goal, and
produces a plan of actions to be executed, which will achieve the goal. A P&S system …

Software is an essential part of robotic systems. As robots and autonomous systems are
more and more deployed in human environments, we need to use elaborate validation and …

To foster effective use of artificial intelligence planning and scheduling (P&S) systems in the
real world, it is of great importance to both (a) broaden direct access to the technology for the …

Timeline-based planners have been shown quite successful in addressing real world
problems. Nevertheless they are considered as a niche technology in AI P&S research as an …

The problems of planning production processes in Cyber Physical Production Systems
(CPPS) require information about eg, machines, products, and time. These information can …