Ever see flying robots doing stuff that you never suspected flying robots could do? I have.
First, a state estimator was used to accurately predict the pendulum’s motion while in flight. Unlike the ball used in the group’s earlier demonstration of quadrocopter juggling, the pendulum’s drag properties depend on its orientation. This means, among other things, that a pendulum in free fall will move sideways if oriented at an angle. Since experiments showed that this effect was quite large for the pendulum used, an estimator including a drag model of the pendulum was developed.
This was important to accurately estimate the pendulum’s catching position.
Another task of the estimator was to determine when the pendulum was in free flight and when it was in contact with a quadrocopter. This was important to switch the quadrocopter’s behavior from hovering to balancing the pendulum.
Second, a fast trajectory generator was needed to quickly move the catching quadrocopter to the estimated catching position.
Third, a learning algorithm was implemented to correct for deviations from the theoretical models for two key events: A first correction term was learnt for the desired catching point of the pendulum. This allowed to capture systematic model errors of the throwing quadrocopter’s trajectory and the pendulum’s flight. A second correction term was learnt for the catching quadrocopter’s position. This allowed to capture systematic model errors of the catching quadrocopter’s rapid movement to the catching position.
Video: Throwing and catching an inverted pendulum – with quadrocopters | Robohub
It’s not just that smart cars’ Android apps are sloppily designed and thus horribly insecure; they are also deliberately designed with extremely poor security choices: even if you factory-reset a car after it is sold as used, the original owner can still locate it, honk its horn, and unlock its doors.
Love puzzles, crypto, making, control panels and nuclear extinction? John Edgar Park has a maker project for you!
Address space layout randomization is an important first line of defense against malicious software: by randomizing where in memory instructions are stored, ASLR makes it much harder to overwrite memory with new code that will be jumped to as a program executes, offering significant protection against buffer overflow attacks.
Python is immensely popular in the data science world for the same reason it is in most other areas of computing—it has highly readable syntax and is suitable for anything from short scripts to massive web services. One of its most exciting, newest applications, however, is in machine learning. You can dive into this booming […]
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Instead of throwing out all the empties after your next party, why not transform them into some new DIY glassware? Cut back on waste and add some home ambiance with the Kinkajou Bottle Cutter and Candle Making Kit.The Kinkajou is designed as a clamp-on scoring blade to make precise cuts. Just slide a bottle in, tighten […]