Event Camera SLAM
The slamcore start-up is pioneering breaktrough new algorithms for accurate and robust real-time event camera motion tracking and scene reconstruction
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Posts
Probabilistic Deep Network
This post explains a trick which allows us to convert neural network outputs into probabilities, with no cost to performance,
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Exo360 Drone: Virtual Reality Taken to the Skys
The Exo360 has 5 cameras which can capture the surroundings of where ever the drone is flying and then stitch
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Are the Sceptics Right? Limits and Potentials of Deep Learning in Robotics
This post presents an interesting summary of the RSS 2016 Workshop Here you can fine official page and description of the
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Tiny-CNN: Header-only, Dependency-free Deep Learning Framework
Tiny-CNN is an header-only, dependency-free deep learning framework for C++11. Just include tiny_cnn.h and write your model in C++. There is
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Deep Learning for Robust Normal Estimation in Unstructured Point Clouds
Normal estimation in point clouds is a crucial first step for numerous algorithms, from surface reconstruction and scene understanding to
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Hierarchical Progressive Multiview Stereo
Progressive multiview stero is an implementation of an algorihm taking a sparse 3D model (result of structure from motion software)
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SpotMini: A New Creature from Boston Dynamics
SpotMini is a new smaller version of the Spot robot. It can be equipped with an arm and is all-electric (no hydraulics).
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High-Performance and Tunable Stereo Reconstruction
In this work, Researchers of MIT present an high-performance and tunable stereo disparity estimation method. It succeeds to reach a
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Snotbot: Whale Research with Aerial Technology
This video presents the beautiful work of the Snotbot’s team of researchers on their Sea of Cortez expedition. Aerial technology is adapted
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Robotic Laundry
How about asking your robot to make a complete laundry cycle?…PR2 seems almost there. See more on this page.
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Long Short-Term Memory Networks (LSTMs)
In this nice post, LSTMs are described to have more control than typical RNNs over what they remember. In general,
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History of Neural Network Design
From Eugenio Curlurciello’s blog, Professor at Purdue University, you can find here a post about the the history of neural network design
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Deep Reinforcement Learning: from Pong Pixels to a Learned Player
Here you can find a fantastic post on reinforcement learning by Andrej Karpathy. The Author explains how it is possible
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