Bounded numeric planning, where each numeric variable domain is bounded, is PSPACE- complete, but such a complexity result does not capture how hard it really is, since the same …
This paper introduces an innovative digital workflow for printability and prefabrication checking in robotic construction 3D printing based on Artificial Intelligence (AI) planning …
PDDL+ models are advanced models of hybrid systems and the resulting problems are notoriously difficult for planning engines to cope with. An additional limiting factor for the …
Hybrid PDDL+ models are amongst the most advanced models of systems and the resulting problems are notoriously difficult for planning engines to cope with. An additional limiting …
We demonstrate an end-to-end framework to improve the resilience of man-made systems to unforeseen events. The framework is based on a physics-based digital twin model and three …
Symbolic task planning is a widely used approach to enforce robot autonomy due to its ease of understanding and deployment in engineered robot architectures. However, techniques …
The increasing prevalence of upper and lower extremity (ULE) functional deficiencies presents a significant challenge, as it restricts individuals' ability to perform daily tasks …
E Scala, M Vallati - The Knowledge Engineering Review, 2021 - cambridge.org
Automated planning is the field of Artificial Intelligence (AI) that focuses on identifying sequences of actions allowing to reach a goal state from a given initial state. The need of …
S Wu, J Zhang, D Wu - Advanced Engineering Informatics, 2024 - Elsevier
The dual-arm manipulation of deformable linear objects (DLOs) represents a practical and challenging problem in robotics research, offering significant potential for various industrial …