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Learning to Summarize and Answer Questions about a Virtual Robot's Past Actions
We therefore demonstrate the task of learning to summarize and answer questions about a robot agent's past actions using natural language alone.
Summarizing a virtual robot's past actions in natural language
We propose and demonstrate the task of giving natural language summaries of the actions of a robotic agent in a virtual environment.
Automated Weed Detection in Aerial Imagery with Context
In this paper, we demonstrate the ability to discriminate between cultivated maize plant and grass or grass-like weed image segments using the context surrounding the image segments.
Predicting the accuracy of neural networks from final and intermediate layer outputs
We show that information about whether a neural network's output will be correct or incorrect is present in the outputs of the network's intermediate layers.
Shape Completion Enabled Robotic Grasping
At runtime, a 2. 5D pointcloud captured from a single point of view is fed into the CNN, which fills in the occluded regions of the scene, allowing grasps to be planned and executed on the completed object.
Robotics
