Open elbridge opened 5 years ago
ROS has a module that uses Kalman filters to combine GPS and IMU data see wiki: http://docs.ros.org/melodic/api/robot_localization/html/index.html
More good sources for odometry http://wiki.ros.org/robot_pose_ekf https://github.com/udacity/robot_pose_ekf
We should plan on encoding the drive wheels, for the small bot we can use https://www.amazon.com/DAOKI-Optocoupler-Sensor-Module-Arduino/dp/B01MRELRS1/ref=sr_1_3_sspa?keywords=Optical+Interrupter+Sensor&qid=1555164051&refinements=p_85%3A2470955011&rnid=2470954011&rps=1&s=industrial&sr=1-3-spons&psc=1
We may need to use stepper motors instead because encoders will be taxing the CPU unless we use a spi or I2C encoder.
I think this IMU would be a good starting place. Well respected and plenty of example code: https://www.sparkfun.com/products/13762
we must think the same way. I ordered this one because I have this one coming today https://www.amazon.com/gp/product/B01I1J0Z7Y/ref=ppx_yo_dt_b_asin_title_o00_s00?ie=UTF8&psc=1
Same IUM, I saw it on sparkfun but was cheaper on Amazon and faster free shipping.
Just installed RSE
Panchy Rivas
From: elbridge Sent: Sunday, May 12, 2019 9:15 PM To: elbridge/yard_bot Cc: frivas12; Comment Subject: Re: [elbridge/yard_bot] IMU methods (#8)
I think this IMU would be a good starting place. Well respected and plenty of example code: https://www.sparkfun.com/products/13762 — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or mute the thread.
I’m having trouble installing the RSE stuff… getting errors.
Instead of spending hours trying to install it, I’ll bring in my tablet and maybe you can help me.
Can we test it w/o the PI?
Panchy Rivas
From: elbridge Sent: Sunday, May 12, 2019 9:15 PM To: elbridge/yard_bot Cc: frivas12; Comment Subject: Re: [elbridge/yard_bot] IMU methods (#8)
I think this IMU would be a good starting place. Well respected and plenty of example code: https://www.sparkfun.com/products/13762 — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or mute the thread.
https://github.com/cboulay/PSMoveService/wiki/Sensor-Fusion Also explore Kalman filter techniques for overall navigation using multiple positioning systems.