SID achieves approximately 90% success on six real-world manipulation tasks with only two demonstrations under out-of-distribution initializations, with less than 10% performance drop under distractors and disturbances.
Unidoormanip: Learning universal door manipulation policy over large-scale and diverse door manipulation environments,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
A diffusion policy learns coordinated control of a mobile base and dual arms to open and traverse damped pull doors in a single end-to-end visuomotor model.
citing papers explorer
-
SID: Sliding into Distribution for Robust Few-Demonstration Manipulation
SID achieves approximately 90% success on six real-world manipulation tasks with only two demonstrations under out-of-distribution initializations, with less than 10% performance drop under distractors and disturbances.
-
Diffusion Policy for Coordinated Control of a Nonholonomic Mobile Base and Dual Arms in Door Opening and Passing
A diffusion policy learns coordinated control of a mobile base and dual arms to open and traverse damped pull doors in a single end-to-end visuomotor model.