Five different robot chassis. This is the goal of the series. To present ideas for different design of the robots and especially the robot bases. If the base is stable and balanced, then in could easily be extended. Let's start with the most simple of the five.
Collect the humans and clear them from the rocket launching region. This is rather straightforward as a task, but it requires a little bit of thinking if you want to do it without manipulators.
We introduce the basic concept for a state machine in this video. For solving the missions we use State Machine with states and behaviours plus additional initialization and debug sections.
We will demonstrate how to connect the brick and the motors by using cables correctly and reliably.
Once you start turning how to do you a whole 180 degrees turn. The robot almost does it, but not completely
You think that you can quickly change the attachments of your LEGO Mindstorms EV3 competition robot? Are you sure? In this first episode of the series you will see how to create and attach attachments without using pins and how faster and easier this could be. You will see the design logic of a few attachments and how they work on the field.
Building instructions for the container mission models. The models are used in the Automated delivery mission of FLLCasts Off-season Challenge 2019.
In the second level of Python for EV3 robots, students learn in-depth the touch sensor. The sensor is used as an input device for manual control of machines, as well as a sensor for autonomous robots. In a pair of lessons, students build a control panel for the grabber and the movement of a crane. Programming wise, students learn how to fork code with "if-else" constructions, how to create conditional and forever loops with "while" and how to negate conditions with "not" operator. In the end of the lesson, robots can detect obstacles and avoid them, so that they traverse a simple labyrinth.