TL;DR
It is shown a proof-of-the-concept planner can sometimes solve the bounded proper planning problem by using a domain-independent heuristic that guides search over sequences of actions.
Timed Partial Orders (TPOs), originally proposed for workflows, provide an interpretable framework for robot task specification with planning algorithms based on mixed-integer linear programming (MILP). However, TPOs are limited in expressivity, capturing only partial-order events with simple timing constraints. In thi...
Abstraction heuristics are among the most effective approaches in optimal classical planning. For numeric planning, however, existing abstraction heuristics suffer from the infiniteness of the abstract state spaces, which is an immediate consequence of numeric state variables. This has recently been analyzed for numeri...
Improvements show that an explicit graph world model harness can substantially improve the reliability and efficiency of long-horizon embodied planning across compact and frontier hosted LLM capabilities.
Automated temporal planning is used to synthesize courses of action for a deterministic abstraction of a system; the produced plans are often modeled as schedules of tasks to be executed on the real system under control. A key problem with adopting this architecture is how to ensure the plan is executable and goal-reac...
In automated planning, logical regression is an operation that returns the most general condition necessary for an action to achieve a particular formula. It has many applications, such as allowing for more robust plan execution and providing compact policies for non-deterministic planning. Although relatively simple t...
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