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An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'
Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cornell Dataset.
This repo contains tools to save images of simulated objects in Gazebo for affordance segmentation
Official TensorFlow implementation of the paper "Automating Reinforcement Learning with Example-based Resets"
Catkin package implementing DS based conatct controller which was proposed in
Official TensorFlow implementation of the paper "Automating Reinforcement Learning with Example-based Resets"