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Visual navigation in the natural environment
We are developing a visual navigation system for ANYmal in the wild. Based on RGBD information, the robot has to be able to tell "walkable" terrains and navigate through the forest.
We are interested in self-supervised approaches to reduce labeling effort and to accommodate various existing dataset
We are developing a visual navigation system for ANYmal in the wild. Based on RGBD information, the robot has to be able to tell "walkable" terrains and navigate through the forest.
We are specifically interested in extending this previous work from our lab: