3 accepted papers
Robust 6D pose estimation of novel textured objects under challenging illumination remains a significant challenge, often requiring a trade-off between accurate initial pose estimation and efficient real-time tracking. We present a unified framework explicitly designed for efficient execution on edg…
This paper introduces Mapping-based Tasks for Inspection: Discovery and Allocation (Map-TIDAL), a method for generating environmentally informed tasks and distributing them in a heterogeneous multi-robot system for visual inspection of underwater structures. Map-TIDAL leverages the individual robot …
One of the goals of active information acquisition using multi-robot teams is to keep the relative uncertainty in each region at the same level to maintain identical acquisition quality (e.g., consistent target detection) in all the regions. To achieve this goal, ergodic coverage can be used to assi…