A camera and inertial sensor filtering pipeline selects the most visible, highest bricks in a stack and estimates their 6DoF poses, outperforming simple baselines on a new synthetic benchmark.
Bb8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
JENGA: Object selection and pose estimation for robotic grasping from a stack
A camera and inertial sensor filtering pipeline selects the most visible, highest bricks in a stack and estimates their 6DoF poses, outperforming simple baselines on a new synthetic benchmark.