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Tag Archives: artificial intelligence
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arxiv, arxiv.org, conference, download, journal, link, Machine Learning, paper, published, robot learning, Robotics, unpublished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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Robotics on arXiv.org Submissions on 29-06-2017 [1] arXiv:1706.09351 [pdf, other] link Title: Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs Authors: Sanjiban Choudhury, Shervin Javdani, Siddhartha Srinivasa, Sebastian Scherer Subjects: Robotics (cs.RO) [2] arXiv:1706.09153 [pdf, ps, other] link Title: Drawbacks … Continue reading
Posted in Robotics
Tagged artificial intelligence, arxiv, arxiv.org, download, link, online, open-access, paper, PDF, Robotics, submission, title
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Using Multi-Objective Genetic Algorithm to Optimize the ZDT1 test problem – A MATLAB video tutorial
In this tutorial, I show implementation of the ZDT1 multi-objective test problem and optimize it using the built-in Multi-objective Genetic Algorithm in MATLAB. The given objective function is a standard test function that helps a beginner user to understand the … Continue reading
Posted in Linux, Machine Learning, MATLAB, Optimization, programming, Robotics, Software, Ubuntu
Tagged artificial intelligence, beginners, code, easy, evolution strategy, function, generation, genetic algorithm, Machine Learning, math, mathematics, mathworks, Matlab, multi-objective, numerical methods, optimal, optimization, optimum, pareto, pareto front, plot, population, programming, Robotics, script, simple, software, source code, step by step, test problem, tutorial, ubuntu, video, windows, zdt, zdt1
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What is Expected Value? (simply explained with example)
If we have a random variable, that can take value with probability , value with probability and so on, then the expected value for this random variable can be calculated as: To simplify the problem, we can consider rolling a … Continue reading
Posted in Linux, Machine Learning, MATLAB, Statistics, Ubuntu
Tagged algorithm, artificial intelligence, calculate, code, continuous, die, discrete, easy, estimate, example, expected value, integral, lerning, linux, math, mathematics, Matlab, mean, PDF, probability, probability density function, programming, random variable, roll, software, source code, statistics, step, step by step, sum, tutorial, value, windows
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Function Approximation – 1 (Radial Basis Network)
Here I give an example about the function approximation technique in MATLAB, than can be used in many areas, e.g., machine learning, robotics, artificial intelligence, optimization. The function approximation in this tutorial is accomplished using Radial Basis Networks. There are … Continue reading
Posted in Linux, Machine Learning, MATLAB, Neural Networks, Optimization, programming, Robotics, SIMULINK, Software, Ubuntu
Tagged artificial intelligence, basis, code, easy, example, function, function approximation, linux, Machine Learning, math, mathematics, Matlab, networks, neural networks, optimization, programming, radial, radial basis networks, robot, Robotics, script, simple, software, sourcecode, step by step, tutorial, ubuntu, windows
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Likelihood : A simple definition
Toss a coin 100 times, and consider you get 80 times heads (we call it success here). Then L(0.7) is: How likely is to observe 80 times head out of tossing a coin 100 times if the true probability of … Continue reading
Posted in Machine Learning, Robotics, Statistics, Thoughts
Tagged artificial intelligence, coin, definition, example, head, likelihood, Machine Learning, math, mathematics, posterior, prior, probability, Robotics, simple, statistics, success, toss
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