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Found 6 papers, 3 papers with code
DoughNet: A Visual Predictive Model for Topological Manipulation of Deformable Objects
Manipulation of elastoplastic objects like dough often involves topological changes such as splitting and merging.
TrackAgent: 6D Object Tracking via Reinforcement Learning
Tracking an object's 6D pose, while either the object itself or the observing camera is moving, is important for many robotics and augmented reality applications.
Challenges for Monocular 6D Object Pose Estimation in Robotics
Object pose estimation is a core perception task that enables, for example, object grasping and scene understanding.
SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement
Observational noise, inaccurate segmentation and ambiguity due to symmetry and occlusion lead to inaccurate object pose estimates.
ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning
Point cloud registration is a common step in many 3D computer vision tasks such as object pose estimation, where a 3D model is aligned to an observation.
VeREFINE: Integrating Object Pose Verification with Physics-guided Iterative Refinement
The generality of the approach is shown by using three state-of-the-art pose estimators and three baseline refiners.
