Throw like you Catch
For our final project in 6.843 = Robotic Manipulation by Russ Tedrake - I wanted to make robots play catch. By the means of Inverse Kinematics, optimization based closed loop DiffIK, we planned an interception strategy to catch a Tennisball from various locations. Try to catch a Ball with chopsticks. Its hard. I found that playing the videos backward made it look like throwing, so given a target position and velocity, we can reverse the velocity and solve the catching problem. Reversing our plan will yield in a throwing controller! Run this Deepnote project to find out for yourself! Or read the details.
This summer, I bought a motorcycle on craigslist in California. The Goal: Make a cafe racer and drive it back to Boston. Using this bike for my daily work commute got me stranded a couple of times until I decided to take it apart and reverse engineer it. Instead of fixing the electronics I redid everything and threw the ignition lock away. It has now Keyless go, the blinkers are well hidden, minimalistic buttons control everything, and check out the speedometer! I broke my ankle in a skydiving accident, which made me transform my dorm room into a workshop until I got the last fixes done.
16.001 - Flight Competition
Our final project was to design and build a plane that maximizes the payload carried and the angular velocity is a circle squared. I was responsible for the optimization of the wing. We ran a simple linear optimizer for each plane configuration and since some trends were obvious we were able to reduce the hyperparameter search space to less than 700.000 planes. It took my server 3 days to find the optimal solution :)
Later we build the plane and I made sure that all the wings are smooth
2.S007 - Challenge
The class taught us how to design and build a Robot to fulfill specific requirements. My robot has a four-bar structure to couple the scooping mechanism with the slide such that the sand can be transported to the gripper. Further, I enabled some autonomous tasks like pulling the rocket, scooping and grabbing objects
16.07 - PID control
One of our Labs for the intro to Controls was to balance a planar helicopter with a control system. This video demonstrates PID with feed forward control.
Pencil Picker ;)
RRT for motion planning
1. Goal: Grab a pencil and put it upright
2. Use Computer Vision do find bounding box of the object
3. Find the transformation to the goal
4. sample face on bounding box and find valid initial and final grasp poses
5. Use RRT to find a path between initial and final pose
The first design project for my 6.08 class required us to develop a simple IoT enabled watch. But I overkilled it and invented a whole new concept of time in a weekend.
Nexttime has two states:
Now: displays current time, date and current calendar event with progress
Next: A minimal countdown to the next calendar event including relevant info.
With a simple server, an esp32, and a well organized calendar the countdown to the next event is the only time that I keep track off.