Contents
This package implements a novel articulation estimation algorithm. It introduces a particle filter-based approach to representing and actively reducing uncertainty over articulated motion models. The presented method provides a probabilistic model that integrates visual observations with feedback from manipulation actions to best characterize a distribution of possible articulation models.
Installation Instruction
git clone https://github.com/Lolu28/particle_filter.git
Video
Usage
TODO