Skip to main content

Robot Remix #6 - LIZARD

The second of 4 models designed by the community for Robot Remix #6 is called LIZARD by Anton Vanhoucke. 

We asked him to tell us a bit more about how this idea came to be, his design process and challenges he faced building the LIZARD.

Because of the green parts in the Forest Machine I looked for green animals. There weren't many. Mostly crocodiles, dinosaurs and lizards. I figured I'd make the LEGO model curve while walking like a real lizard. I was lucky to find that the forest machine includes two turn tables! These would make for nice body joints. To be sure it would work I did a rough model in Studio and sketched over it on my iPad. 

When I got the sets and started building I discovered that my Studio model didn't work. The legs needed a better mechanism and the torso twisted the wrong way. That was a bit of a set-back. I also hoped at first that it would walk with only it's legs and the tail for balance, but I had to put wheels under the belly eventually. In the end I wanted the movement to look cool and realistic, more than that it was a real walker. 

The legs were the part that I redid the most. Even with the wheels under the belly they take a lot of stress, especially when the lizard walks real fast. After the stress test of LEGO World Copenhagen I took the lizard apart one last time to build the sturdiest version I could think. Now it can walk quite fast without breaking.    -Anton.

The building instructions do not yet include the stand for the lizard. It was built that with the remix part too, and I will make some building instructions later. Get the full story here:
The model contains 711 parts, took 2 hours to design, 40 hours to build and 8 hours to program.

Popular posts from this blog


2023 is the 25th Anniversary of the MINDSTORMS brand. For 25 years, MINDSTORMS has educated and inspired a generation of robot builders, both children and adults. Unfortunately, the LEGO Group decided to end the line on December 2022. Many ROBOTMAK3RS have been passionately involved with the development of MINDSTORMS through the MUP and MCP programs. Even with the newest Robot Inventor line, several ROBOTMAK3RS were invited to submit additional bonus models that were included in the official app. Regardless of the retirement of a major LEGO robotics product line, ROBOTMAK3RS continue to MAKE-SHARE-INSPIRE using all LEGO robotics platforms available to us. Here is the official statement from LEGO. Since its launch in September 1998, LEGO MINDSTORMS has been one of the core ‘Build & Code’ experiences in the company’s portfolio, carrying with it significant brand equity and becoming a stand-out experience for the early days of consumer robotics and leading to current Build & Code

Celebrating MINDSTORMS with a Remix Part 1

In honor of the 25th Anniversary of MINDSTORMS, we asked ROBOTMAK3RS to combine a LEGO set of their choice with a MINDSTORMS set. Here is what these five ROBOTMAK3RS came up with.  MINDSTORMS Chess Assistant by Arvind Seshan Overview: When you are new to chess, it can be a challenge to remember which pieces go where. Now, you can use machine learning and LEGO MINDSTORMS Robot Inventor to build a tool to help you learn where all the chess pieces go on the chess board. Sets used: LEGO® Iconic Chess Set (40174) and MINDSTORMS Robot Inventor (51515) Review: I really like how the chess set base can store all the pieces underneath and that the board neatly splits in half for handy storage. The chess pieces themselves are very sturdy and well built. My only criticism is the building of the box itself. It was quite difficult to see what pieces to use and since the entire box is made mostly of thin plates, it took a lot of time and patience. I would have liked the storage area to be sliding dra

Machine Learning Meets MINDSTORMS

Machine Learning Extension LEGO MINDSTORMS announced today a brand new feature that is sure to excite all users. Machine Learning Extension is coming to the software in August 2022. This will allow users to implement new applications that were not possible before. Machine Learning has become exceedingly popular in recent years with applications in all sorts of industries from robotics to financial services to climate change. Now, even the youngest of robot enthusiasts and programmers have access to the world of Machine Learning and Artificial Intelligence. Comparing two classes Machine Learning on MINDSTORMS will work with both images and audio. For instance, you could train your model to recognize smiles and frowns on your face and have the emotion displayed on your hub. You could train your model to recognize when a red ball is present or not or identify a particular LEGO element. You can control your robot with audio commands that use your own voice. It is exciting to see what new p