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Results tagged with machine-learning
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Machine learning is a branch of Artificial Intelligence concerned with the development of algorithms that adapt their behavior based on past observations. Examples of such algorithms include Artificial Neural Networks, Genetic Algorithms, Expectation-Maximization, and Support Vector Machines. Such algorithms are used for classifying previously unseen data and predicting future values of some unknown process.
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Rigid body system identification with machine learning, but how?
Most problems in robotics have to do with a controlling a system. An easy example for a system is the forward kinematic of a robot arm. A joint in the model gets a certain value, and as the result the …
- 802
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Can a neural network emulate a physics engine?
Before a motion controller for a robot can be created, a step before is needed, called “system identification”. The aim is to create a prediction model which can say, what will happen if a certain mov …
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Motion primtive: machine learning vs. handcrafted
On Google Scholar there are a lot of papers which explain the advantages of motion primitive: instead of searching inside the state-space (configuration space of a robot) the solver has to search insi …
- 926
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How can a DMP be used for simulating physics?
I read a paper from 2015, "Structural bootstrapping - A novel, generative
mechanism for faster and more efficient acquisition of action-knowledge
", which introduces a concept called, "Structural boot …
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