Planning for hybrid systems is important for dealing with real-world applications, and PDDL+
supports this representation of domains with mixed discrete and continuous dynamics. In …

While executing its plan in a dynamic environment where multiple agents are operating, an
autonomous agent may suffer a failure due to discrepancies between the expected and …

Flexible control strategies are required in industrial scenarios to coordinate the actions of
mobile manipulators (eg, robots and humans). Temporal planning approaches can be used …

Automated temporal planning is the technology of choice when controlling systems that can
execute more actions in parallel and when temporal constraints, such as deadlines, are …

In this paper, we tackle the problem of planning in complex numerical domains, where
actions are indexed by control parameters, and their effects may be described by neural …

Since the release of PDDL 2.1, many planners accepted the challenge of addressing more
complicated domains and problems, including both temporal and numeric features for …

Several multi-agent techniques are utilized to reduce the complexity of classical planning
tasks, however, their applicability to temporal planning domains is a currently open line of …

作为人工智能领域的一个重要分支, 智能规划被广泛应用于机器人, 工业生产, 商业应用等领域.
时态规划是智能规划的前沿子领域. 本文从时态特征, 规划方法, 应用等三个角度出发 …

The use of AI planning beyond demonstration examples has proven to be challenging for
expressive problems with numerous components. This happens primarily because the state …

AI task planning approaches are increasingly used in projects with flexible processes, where
it must be autonomously deliberated about the selection and scheduling of the actions for …