A new framework solves the kidnapped robot problem by sampling sparse feasible hypotheses via constrained RRT and applying batched multi-stage inference with SMAD ordering and TAM alignment to achieve competitive success rate and efficiency on real robots.
Development of a new technique in ROS for mobile robots localization in known-based 2D environments,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Tackling the Kidnapped Robot Problem via Sparse Feasible Hypothesis Sampling and Reliable Batched Multi-Stage Inference
A new framework solves the kidnapped robot problem by sampling sparse feasible hypotheses via constrained RRT and applying batched multi-stage inference with SMAD ordering and TAM alignment to achieve competitive success rate and efficiency on real robots.