The need for combined task and motion planning in robotics is well understood. Solutions to
this problem have typically relied on special purpose, integrated implementations of task …

Many planning applications involve complex relationships defined on high-dimensional,
continuous variables. For example, robotic manipulation requires planning with kinematic …

Mobile manipulation problems involving many objects are challenging to solve due to the
high dimensionality and multi-modality of their hybrid configuration spaces. Planners that …

Liste der Autoren Page 1 Liste der Autoren Clemens Beckstein Gerhard Brewka Christian
Borgelt Wolfram Burgard Hans-Dieter Burkhard Stephan Busemann Thomas Christaller Leonie …

We generalise the interval-based relaxation to sequential numeric planning problems with
non-linear conditions and effects, and cyclic dependencies. This effectively removes all the …

This paper studies novel subgoaling relaxations for automated planning with propositional
and numeric state variables. Subgoaling relaxations address one source of complexity of the …

Human beings are social creatures. We routinely reason about other agents, and a crucial
component of this social reasoning is inferring people's goals as we learn about their …

The paper presents a new relaxation for hybrid planning with continuous numeric and
propositional state variables based on subgoaling, generalising the subgoaling principle …

Planning for real-world applications requires algorithms and tools with the ability to handle
the complexity such scenarios entail. However, meeting the needs of such applications …

The PDDL modelling problem is known to be challenging, time consuming and error prone.
This has led researchers to investigate methods of supporting the modelling process. One …