Posts tagged "community projects" (Page 6)
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Remember my super cool sumo robot? My sumo robot is different from regular sumo robots. It’s like my sumo robot is in the top percentage of mini sumo robots. Continued…
This “World’s Fastest” Rubik’s Cube-solving robot uses six DRV8825 stepper motor driver carriers, one for each face.
VertiGo is a novel robot designed with one main goal: the ability to drive on floors and walls, even if the walls aren’t perfectly flat. To accomplish this, it uses tiltable propellers for propulsion rather than motorized wheels. The propeller tilting is controlled by two Pololu Jrk 21v3 USB motor controllers with feedback. Students at ETH Zurich made this robot in collaboration with Disney Research Zürich.
You can visit the VertiGo website for pictures and project news.
For their senior design project in the spring semester of this year, a team of Mechanical Engineering students (the Tuggiteers!) from Purdue made a remotely-controlled plane-towing vehicle that uses one of our step-up/step-down regulators. The team shared with us this video of their final review, which demonstrates the vehicle approaching, connecting to, and towing a single-engine aircraft:
This next video captures their vehicle’s first test. An on-board camera allows you to get a 1st-person view of the latch actuating and gripping the aircraft wheel:
We are always excited to see our parts getting used in cool projects, and we were especially excited to see this because it looks way easier than doing it the usual way:
Ben, pushing a plane (before he started Crossfit).
There is a nice recap on the Raspberry Pi blog of the Pi Wars 2015 competition that was held last weekend on December 5th, 2015. It is a robotics competition held in Cambridge, UK that focuses on robots controlled by a Raspberry Pi. I noticed a lot of Pololu parts on the robots in the videos. Just a few examples are wheels and tracks, motors, and reflectance sensors. I didn’t see any A-Star 32U4 robot controllers in the videos, but I think that would make a great controller for a robot in the next competition because it can be used as a Raspberry Pi expansion board!
You can check out the Pi Wars 2015 post for more details.
Hi, my name is Patrick. I am an engineering intern at Pololu and am studying at the University of Nevada, Las Vegas to earn a mechanical engineering degree. I decided to build a custom robot to compete in the recent LVBots mini-sumo competition here at Pololu. It was my first competition at LVBots. I started out by watching a compilation video of the previous sumo competition at LVBots since I had never competed in a mini-sumo competition before. My goal was to create a robot that could out maneuver other robots and had as few vulnerabilities as possible. To achieve this goal, I decided to build a robot that would be high speed and able to push opponents from both sides of the robot with a lot of force. The result of my efforts is the robot I call Covert Ops. Continued…
My robot, Roku, was the champion of LVBots’ August mini-sumo competition. While I didn’t have the time or inspiration to make it look like anything more interesting (like a Star Wars droid) or make use of especially innovative tactics, I think I managed to build a robot that not only is effective but also looks fairly clean and well put together. In addition, it’s a good demonstration of how the Pololu A-Star 32U4 Robot Controller can be used as a standalone main board for a small robot. Continued…
I got your torque right here ;)
Now that we are carrying Advancer Technologies’ MyoWare Muscle Sensor, it is time to update our demonstration video! I’ve had two whole years to add some mass to my biceps (during which time I continuously worked on those bad boys for a grand total of four weeks), and now I can proudly present to you these sick gains.
The demonstration is basically a redo of the original muscle sensor demo with the new sensor, except for a few small differences (honestly, my biceps are not that much bigger). In this setup, a 6-channel Maestro reads the muscle sensor’s analog voltage output and commands the position of a Power HD servo. The Maestro’s +5 V (out) pin supplies power to the MyoWare Muscle Sensor, and the servo and Maestro are powered by 4 rechargeable AA batteries. On a personal note, I found it really satisfying to use a single power source for this demonstration, which is not something you can do with the previous version of this muscle sensor, as it requires two supplies. (Be sure to check out the MyoWare Muscle Sensor’s product page to read about more ways the new muscle sensor improves upon the older version!)
This Maestro script is slightly more interesting than the script in the last demo, since the servo’s default direction of rotation was the opposite of the motion for a bicep curl (and we were already quite happy with the servo’s orientation with respect to my arm for the planned video footage). To get around this, and make the servo arm movement match the position of my arm during a bicep curl, I did some basic math and came up with an equation that you can see in the code below:
# Sets servo 1 to a position based on the analog input of the MyoWare Muscle Sensor. begin 8000 # put this value on the stack (for why, see line 5) 0 get_position # get the value of the muscle sensor's signal connected to channel 0 4 times minus # y = -4x + 8000 , which is an equation we use to deal with the servo's # default direction of rotation and scale the Maestro's Target # value to roughly 4000-8000 (approximately 1-2 ms) # which is the range of servo pulses that corresponds # to the motion we want. 1 servo # set servo 1 accordingly repeat
You can, of course, use other devices to read the analog voltages from the MyoWare Muscle Sensor. If you have not already, you might try using one of our A-Stars!
If you have a project that uses the MyoWare Muscle Sensor, we would be pumped to hear about it!