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Tag Archives: Machine Learning
Linear Transformation of Random Variables
Linear Transformation of Random Variables is a very basic yet important operation in Statistics results of which are extensively used in different methods and algorithms in Machine Learning. Assume is a linear function, , where, is a random variable, and … Continue reading
arXiv.org 18-10-2017
Robotics on arXiv.org Submissions on 18-10-2017 [1] arXiv:1710.06425 [pdf, other] link Title: Domain Randomization and Generative Models for Robotic Grasping Authors: Joshua Tobin, Wojciech Zaremba, Pieter Abbeel Subjects: Robotics (cs.RO); Learning (cs.LG) [2] arXiv:1710.06280 [pdf, other] link Title: Interactively Picking … Continue reading
Posted in Robotics
Tagged artificial intelligence, arxiv, arxiv.org, conference, download, journal, link, Machine Learning, paper, published, robot learning, Robotics, unpublished
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Robotics on arXiv 7/18/2017
Robotics on arXiv.org Submissions on 18-07-2017 [1] arXiv:1707.05303 [pdf, other] link Title: Aggressive Deep Driving: Model Predictive Control with a CNN Cost Model Authors: Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg Comments: 11 pages, 7 … Continue reading
Posted in Robotics
Tagged artificial intelligence, arxiv, arxiv.org, conference, download, journal, link, Machine Learning, paper, PDF, read, robot, Robotics, study
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Robotics on arXiv – 6/July/2017
Robotics on arXiv.org Submissions on 06-07-2017 [1] arXiv:1707.01152 [pdf, other] link Title: Improving Foot-Mounted Inertial Navigation Through Real-Time Motion Classification Authors: Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly Comments: To appear in proceedings of 2017 International Conference on Indoor Positioning an … Continue reading
Posted in Robotics
Tagged artificial intelligence, arxiv, arxiv.org, journal, link, Machine Learning, paper, PDF, robot, Robotics
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Robotics on arXiv.org 5/July/2017
Robotics on arXiv.org Submissions on 05-07-2017 [1] arXiv:1707.00893 [pdf, other] link Title: Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning Authors: Philipp Jund, Andreas Eitel, Nichola Abdo, Wolfram Burgard Comments: Submitted to CoRL 2017. Supplementary Video: this … Continue reading
Posted in Robotics
Tagged artificial intelligence, arxiv, arxiv.org, journal, learning, link, Machine Learning, paper, PDF, robot, Robotics
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Robotics on arXiv – 7/4/2017
Robotics on arXiv.org Submissions on 04-07-2017 [1] arXiv:1707.00484 [pdf, other] link Title: A Projected Inverse Dynamics Approach for Dual-arm Cartesian Impedance Control Authors: Hsiu-Chin Lin, Joshua Smith, Keyhan Kouhkiloui Babarahmati, Niels Dehio, Michael Mistry Comments: Under review Subjects: Robotics (cs.RO) … Continue reading
Posted in Robotics
Tagged artificial intelligence, download, link, Machine Learning, paper, PDF, robot, Robotics, scienific papers
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Iterative Learning Control – Part 2
In the previous post I explained the ILC controllers and compared them to the conventional feedback controllers. In this post I show a simple example that employs an ILC. Check the following simple, linear plant: In this system, is the … Continue reading
Posted in control, Machine Learning, MATLAB, Optimization, programming, Robotics, Software
Tagged algorithm, code, control, easy, example, ILC, iteration, iterative, iterative learning control, Machine Learning, plant, programming, robot, Robotics, simple, source code, step by step, system, tutorial
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Iterative Learning Control – Part 1
Iterative Learning Control (ILC) is used for improving the transient response in systems that perform repetitively. ILC tries to improve the response by adjusting the input to the plant based on the error observed in the previous iteration. A conventional … Continue reading
Posted in control, Machine Learning, MATLAB, Optimization, programming, Robotics, Software
Tagged code, control, control theory, controller, easy, example, gain, ILC, iteration, iterative learning control, learning, Machine Learning, mathematics, plant, simple, source code, space, space-state, state, step by step, system, tutorial
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Probability – Basic Lesson 4
In the previous lesson, we saw the definition of Expectation. Here the definition of Variance (and Standard Deviation) is given. Variance means that how much variability is in around its mean value (expected value) , and it can be written … Continue reading
Posted in Machine Learning, Statistics, Thoughts
Tagged easy, example, expectation, Machine Learning, mathematics, probability, simple, standard deviation, tutorial, variance
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Probability – Basic Lesson 2
Check out my previous post on the four main rules of probability first and come back to this post to see a very nice example. Example: Consider we have two boxes a blue and a green, there are a number … Continue reading
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