Sampling-based methods for factored task and motion planning
Sampling-based methods for factored task and motion planning is a scholarly work, published in 2018 in ''The International Journal of Robotics Research''. The main subjects of the publication include motion planning, computer science, state, curse of dimensionality, task, intersection, class, graph dimension, mathematical optimization, domain, automated planning and scheduling, set, mathematics, and sampling. The authors develop a theoretical framework for solving factored transition systems with sampling-based algorithms.