A new POMDP solver called GNPF-kCT uses belief tree reuse, neural process filtering, and k-center clustering to achieve faster and more reliable 3D object search than baselines in simulations and real office tests.
If the updating object reaches the obstacle or target index, call the claim action first
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
POMDP-based Object Search with Growing State Space and Hybrid Action Domain
A new POMDP solver called GNPF-kCT uses belief tree reuse, neural process filtering, and k-center clustering to achieve faster and more reliable 3D object search than baselines in simulations and real office tests.