SEMNAV trains visual semantic navigation policies on semantic segmentation inputs rather than RGB, reports higher success rates in Habitat 2.0 on HM3D, and shows improved real-world transfer on robotic platforms.
Deepfactors: Real-time probabilistic dense monocular slam
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
-
SEMNAV: Enhancing Visual Semantic Navigation in Robotics through Semantic Segmentation
SEMNAV trains visual semantic navigation policies on semantic segmentation inputs rather than RGB, reports higher success rates in Habitat 2.0 on HM3D, and shows improved real-world transfer on robotic platforms.