Geometry and Beyond – Representations, Physics, and Scene Understanding for Robotics – RSS 2016
This is a very interesting workshop with very nice perspectives. Oliver Brock, TU Berlin „Geometry is dead” Hanif Kara said
Read moreRobotics & Computer Vision Engineer, PhD
This is a very interesting workshop with very nice perspectives. Oliver Brock, TU Berlin „Geometry is dead” Hanif Kara said
Read moreThe slamcore start-up is pioneering breaktrough new algorithms for accurate and robust real-time event camera motion tracking and scene reconstruction
Read moreThis post explains a trick which allows us to convert neural network outputs into probabilities, with no cost to performance,
Read moreThe Exo360 has 5 cameras which can capture the surroundings of where ever the drone is flying and then stitch
Read moreThis post presents an interesting summary of the RSS 2016 Workshop Here you can fine official page and description of the
Read moreTiny-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
Read moreNormal estimation in point clouds is a crucial first step for numerous algorithms, from surface reconstruction and scene understanding to
Read moreProgressive multiview stero is an implementation of an algorihm taking a sparse 3D model (result of structure from motion software)
Read moreSpotMini is a new smaller version of the Spot robot. It can be equipped with an arm and is all-electric (no hydraulics).
Read moreIn this work, Researchers of MIT present an high-performance and tunable stereo disparity estimation method. It succeeds to reach a
Read moreThis video presents the beautiful work of the Snotbot’s team of researchers on their Sea of Cortez expedition. Aerial technology is adapted
Read moreHow about asking your robot to make a complete laundry cycle?…PR2 seems almost there. See more on this page.
Read moreIn this nice post, LSTMs are described to have more control than typical RNNs over what they remember. In general,
Read moreFrom Eugenio Curlurciello’s blog, Professor at Purdue University, you can find here a post about the the history of neural network design
Read moreHere you can find a fantastic post on reinforcement learning by Andrej Karpathy. The Author explains how it is possible
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