Navigation with RF Cues: Embodied Perception Action under Multipath Uncertainty
Building on this benchmark, we propose an uncertainty aware multimodal navigation framework that jointly estimates target direction and its uncertainty from a history of RF, visual, and pose observations.
ProofPaper ↗
Key points
- Smart factory inspection requires robots to reach connected equipment without a prior map or known target coordinates.
- Radio frequency (RF) signals from the target can provide directional cues to complement visual observations when occlusion or poor lighting limits target detection.
- To enable navigation research under these conditions, we first construct a Habitat Sionna RT benchmark that uses detailed scene geometry and assigned material properties to generate aligned visual and RF observations in response to robot actions.
- These estimates inform action selection alongside visual context.
Sources (1)
- [1]Navigation with RF Cues: Embodied Perception Action under Multipath UncertaintyarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 6, 10:31 AM
Building on this benchmark, we propose an uncertainty aware multimodal navigation framework that jointly estimates target direction and its uncertainty from a history of RF, visual, and pose observations.
Smart factory inspection requires robots to reach connected equipment without a prior map or known target coordinates.
Extractive summary: sentences quoted from the sources.