Article

Reward-Guided RRT*: A Task and Motion Planning Framework Under Budget Constraints

The authors propose Reward-Guided RRT*, a sampling-based framework that directly constructs budget-satisfying task sequences in continuous state space through a series of locally joint task-selection and motion-planning stages, without requiring a precomputed task-transition graph.

Part of the event: Authors propose reward-guided RRT* planning framework under budget constraints

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