control-logico-y-controladores-logicos-programables.zip |
robotica-integrada-a-la-manufactura.zip |
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Aquí vas a poder encontrar el material necesario para llevar a cabo la construcción de tu sumobot. Los códigos los puedes encontrar en la siguiente liga: https://github.com/piperj3/UCCSumobot/
Hello to everyone, it's been a while since I wrote here a new post.
I have had my GitHub thing for a while now, but I did not share it until today. You can find several repositories , some are copies from other people's shared stuff. Mine are IMT-class and Machine Learning; in the first one you will find .py code, they are for my college students in their introductory class to mechatronics but could help you if you work with Raspberrypi. Those are entry level codes intended to be simple but functional. In the Machine Learning folder you could find some algorithms and the pseudocode un latex. This specific folder will have afew algorithms and I may delete and uptade with no advice, If you want something I suggest to download it at the momento if for any reason you miss, ask me and I will upload it again. https://github.com/piperj3 PS. Corrections to the code are very welcome. This presentation is just for my students from the Circuits Lab, but anyone interested can use the presentation.
Well, last summer I took a coursera course on Machine Learning, I took me to finish until september 14th. The course it self it's great, the content is just what you need to become really involved in these algorithms and think about several applications. Prof. Andrew Ng is the one that helds the course, and he did a great job.
If you need to learn some basics and need some advice into this specific area, I do completely recommend this course. Finally I got 92.8% and I got the Accomplish certificate. I am very happy with this, since I wanted so hard to learn all this algorithms and practice them for real. I gues for being my first time on hands, I did pretty well. I encourage you to take this course it would do a lot for you. During my PhD I have worked on several Human-Robot Interaction projects, currently I am working on, in which will be the main topic of my dissertation thesis. Data Driven Grasping, which is basically the use of data obtained in different manners, from experts ( humans ) on how to grasp several objects and then use Machine Learning techniques to obtain an appropriate algorithm that would make a hand grasp new objects from learned examples of completely different objects and possibly basic hand poses.
Therefore we needed a platform in which we could try our job, and test certain control algorithms. We made use of the project InMoov, you should find more info here; www.inmoov.blogspot.com . And started printing our very own robotic hand. Material used is green PLA melted at 210°C in our Crea 3D 160 printer, more info regarding this Mexican company shall be found here www.crea3d.com.mx . The hand by itself has DOF, and as tendons we have used fish line. Servomotor are the actuatos that would move the tendons for extension/flexion movements of the fingers. The next step will be, adding sensors in to the hand such as FSR sensors, Flex sensors and a gyroscope, same sensors would be attached to a glove for human use that will do as an acquiring data device. Follow the advances of the hand at my blog page. This blog entry is specifically for my students at ITESM CCM, at the introductory class for Mechatronics. At this two links you will find all the course material; class slides plus snippet codes. The material is recompiled from several sources, and are meant for helping you during your project development.
Most of the codes, are useful for all three projects; Human Powered Vehicle, Hovercraft and the Vacuum Cleaner Robot. Slides can be found here: https://www.dropbox.com/sh/0qlyrihavgj5tuy/AACxFa0KoqN2X6XrwhUnil0ga?dl=0 Code repository here: https://github.com/piperj3/IMT-class |