Questions tagged [machine-learning]

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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Reward Function for q learning on a robot

I have 2 wheeled differential drive robot which I use pid for low level control to follow line. I implemented q learning which uses samples for 16 iterations then uses them to decide the best position ...
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171 views

Motion planning with Gaussian Process Regression

I was recently introduced to Gaussian Process Regression (GPR). I read multiple papers regarding use cases of GPR in robotics, however, they were more or less very limited. Use case from the ...
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How can I calibrate 3 cameras and track the object using only synchronized cameras feeds from all the cameras?

I have camera feed (in the form of RGB images) from 3 cameras with partially overlapping Field-of-view i.e. for the time stamp 0 to 100, I have total 300 frames or say synchronized 100 RGB frames for ...
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Can supervised learning be used to solve the inverted pendulum problem?

I know that reinforcement learning has been used to solve the inverted pendulum problem. Can supervised learning be used to solve the inverted pendulum problem? For example, there could be an ...
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Creating a Raspberry Pi drone without Navio

I'm very interested in developing software to run an autonomous drone. Preferably using the raspberry pi. There is a lot of information on the internet, much of it is outdated and is extremely ...
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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 ...