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Found 4 papers, 3 papers with code
iCaps: Iterative Category-level Object Pose and Shape Estimation
The auto-encoder can be used in a particle filter framework to estimate and track 6D poses of objects in a category.
Motion Reasoning for Goal-Based Imitation Learning
We further show that by using the automatically inferred goal from the video demonstration, our robot is able to reproduce the same task in a real kitchen environment.
Self-supervised 6D Object Pose Estimation for Robot Manipulation
In this way, our system is able to continuously collect data and improve its pose estimation modules.
Robotics
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking
In this work, we formulate the 6D object pose tracking problem in the Rao-Blackwellized particle filtering framework, where the 3D rotation and the 3D translation of an object are decoupled.
