POM-NeTF extends physics-informed neural time fields from robot motion planning to prehensile object manipulation, enabling fast, demonstration-free planning with re-grasping in cluttered environments.
Trends and challenges in robot manipulation
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
-
Physics-informed Neural Time Fields for Prehensile Object Manipulation
POM-NeTF extends physics-informed neural time fields from robot motion planning to prehensile object manipulation, enabling fast, demonstration-free planning with re-grasping in cluttered environments.