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Found 5 papers, 2 papers with code
You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example
In this work, we present a method for achieving category-level pose estimation by inspection of just a single object from a desired category.
Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation
We present a novel approach to path planning for robotic manipulators, in which paths are produced via iterative optimisation in the latent space of a generative model of robot poses.
Zero-Shot Category-Level Object Pose Estimation
Object pose estimation is an important component of most vision pipelines for embodied agents, as well as in 3D vision more generally.
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning
Key to these fields is the use of information asymmetry across architectural modules to bias which skills are learnt.
Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement
Object rearrangement has recently emerged as a key competency in robot manipulation, with practical solutions generally involving object detection, recognition, grasping and high-level planning.
