Attaching a VAE novelty detector to the DINO-WM world model and penalizing out-of-distribution predicted states in CEM planning lowers Chamfer distance on small-data robot manipulation benchmarks.
Estimation of inertial parameters of manipulator loads and links,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Bounding Distributional Shifts in World Modeling through Novelty Detection
Attaching a VAE novelty detector to the DINO-WM world model and penalizing out-of-distribution predicted states in CEM planning lowers Chamfer distance on small-data robot manipulation benchmarks.