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Combining Neural Networks and Tree Search for Task and Motion Planning in Challenging Environments
This paper investigates the ability of neural networks to learn both LTL constraints and control policies in order to generate task plans in complex environments.
Robotics
Unsynthesizable Cores - Minimal Explanations for Unsynthesizable High-Level Robot Behaviors
With the increasing ubiquity of multi-capable, general-purpose robots arises the need for enabling non-expert users to command these robots to perform complex high-level tasks.
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