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BRUNO MK-III: Third attempt to build a small robodog chassis
It seems that everyone around is building robots these days. Overcoming my laziness, I decided to also build my own small robodog, and I'm sharing the result of this project, which took me quite a bit of trials and errors during long evenings. All parts were designed from scratch. Everything that is plastic was 3D printed. Everything that isn't plastic was sourced from generic stores - there are no custom CNC orders here. The main SBC is a Radxa Zero 3W running Ubuntu 24.04 with ROS 2 Jazzy. The servos are powered by a Sunflower PCA9685 driver board. There are two separate power rails: 5V for the Radxa and 6-7V for the servos. The trotting gait is shown in the video. I'm currently using an inverse kinematics algorithm, but my long-term plans include Tensor Lite and trained neural networks for skills. The project is still ongoing - I have so many things to try and learn. But it is solid enough as a good foundation for future iterations. submitted by /u/Consistent_Chance_97 [link] [Kommentare] reddit.com · reddit.com
It seems that everyone around is building robots these days. Overcoming my laziness, I decided to also build my own small robodog, and I'm sharing the result of this project, which took me quite a bit of trials and errors during long evenings. All parts were designed from scratch. Everything that is plastic was 3D printed. Everything that isn't plastic was sourced from generic stores - there are no custom CNC orders here. The main SBC is a Radxa Zero 3W running Ubuntu 24.04 with ROS 2 Jazzy. The servos are powered by a Sunflower PCA9685 driver board. There are two separate power rails: 5V for the Radxa and 6-7V for the servos. The trotting gait is shown in the video. I'm currently using an inverse kinematics algorithm, but my long-term plans include Tensor Lite and trained neural networks for skills. The project is still ongoing - I have so many things to try and learn. But it is solid enough as a good foundation for future iterations. submitted by /u/Consistent_Chance_97 [link] [Kommentare]
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