Robust metric hybrid planning in stochastic nonlinear domains using mathematical optimization

B Say - Proceedings of the International Conference on …, 2023 - ojs.aaai.org
The deployment of automated planning in safety critical systems has resulted in the need for
the development of robust automated planners that can (i) accurately model complex …

Gradient-based mixed planning with symbolic and numeric action parameters

K Jin, HH Zhuo, Z Xiao, H Wan, S Kambhampati - Artificial Intelligence, 2022 - Elsevier
Dealing with planning problems with both logical relations and numeric changes in real-
world dynamic environments is challenging. Existing numeric planning systems for the …

Personalized medication and activity planning in PDDL+

FK Alaboud, A Coles - Proceedings of the international conference on …, 2019 - ojs.aaai.org
The emergence of planners capable of reasoning with continuous dynamics, as expressed
in PDDL+, has increased the range of problems that fall within the capabilities of PDDL …

[PDF][PDF] Heuristic Planning for Hybrid Dynamical Systems with Constraint Logic Programming.

S Mathew, M Soutchanski - IPS-RCRA-SPIRIT@ AI* IA, 2023 - ceur-ws.org
We explore how planning for near optimal behaviors of mixed discrete-continuous systems
can be done by deductive reasoning. For reasoning to be efficient, it must be properly …

[PDF][PDF] Towards Full-Scale Autonomy for Multi-Vehicle Systems Planning and Acting in Extreme Environments

Y Carreno - 2023 - core.ac.uk
Currently, robotic technology offers flexible platforms for addressing many challenging
problems that arise in extreme environments. These problems' nature enhances the use of …

[PDF][PDF] Personalising Medication & Activity Regimes Using Novel State Progression Models for Forward Search with PDDL+.

F Alaboud - 2022 - kclpure.kcl.ac.uk
Planning, in its purest form, is the process of organising a set of actions, while anticipating
the effect of each action, to achieve pre-stated objectives. Artificial Intelligence (AI) Planning …