A simulation-trained teacher-student policy with progressive policy expansion achieves 78.3% real-world success on a long-horizon mobile pick-and-place task.
GAMMA: Graspability-aware mobile manipulation policy learning based on online grasping pose fusion,
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
ACCEPT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Learning Multi-Stage Pick-and-Place with a Legged Mobile Manipulator
A simulation-trained teacher-student policy with progressive policy expansion achieves 78.3% real-world success on a long-horizon mobile pick-and-place task.