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PennSyn2Real: Training Object Recognition Models without Human Labeling
Scalable training data generation is a critical problem in deep learning.
Resilient Active Information Gathering with Mobile Robots
In this paper, we provide the first algorithm, enabling the following capabilities: minimal communication, i. e., the algorithm is executed by the robots based only on minimal communication between them; system-wide resiliency, i. e., the algorithm is valid for any number of denial-of-service attacks and failures; and provable approximation performance, i. e., the algorithm ensures for all monotone (and not necessarily submodular) objective functions a solution that is finitely close to the optimal.
The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception
Event based cameras are a new passive sensing modality with a number of benefits over traditional cameras, including extremely low latency, asynchronous data acquisition, high dynamic range and very low power consumption.
Robotics
