SubTGraph synthesizes controllable large-scale subterranean worlds from user constraints and DARPA tiles via Dijkstra to enable statistical validation of robotic autonomy stacks.
A time-dependent risk- aware distributed multi-agent path finder based on a
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SubTGraph: Large-Scale Subterranean Environment Synthesis with Controllable Topological Variability for Robotic Autonomy Validation
SubTGraph synthesizes controllable large-scale subterranean worlds from user constraints and DARPA tiles via Dijkstra to enable statistical validation of robotic autonomy stacks.