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evildmp
BrachioGraph
Python2019–2025
evildmp / BrachioGraph

BrachioGraph

BrachioGraph is an ultra-cheap (total cost of materials: €14) plotter that can be built with minimal skills.

3Distinct people
5Mentions
1Explicit recommenders
755GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

BrachioGraph is an ultra-cheap (total cost of materials: €14) plotter that can be built with minimal skills.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

I recommend a Brachiograph build. It will introduce you to some fundamentals of PWM and inverse kinematics. It is well documented but not cookie-cutter. Using a Raspberry Pi…

adolph used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 9:01:12 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year5 dated mentions

Observed mentions: 2019-10-17 13:30:23 UTC to 2025-07-23 21:49:06 UTC.

01232019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC312
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

1 sources
You have to think of this as an entire system. The arm is necessary but not sufficient. An "arm" could be as simple as small servos and popsicle sticks [0]. In the case of ALOHA, below is an outline of the basic components. * arms (aka follower arms) - effector (i.e. gripper) - sensors (i.e. cameras, depth sensors, specced Intel RealSense D405) - gravity compensation (so the relatively delicate servos aren't overloaded) * controller - runs Robot Operating System (ROS [1]) plus other software (i.e. arm, gripper interfaces [2]) - runs ALOHA model in inference to tell ROS what to do based on task and sensor input - trains ALOHA models using arm motion encoder and ACT: Action Chunking with Transformers [4] * leader arms - motion encoders (essentialy an arm in reverse that can be used by a human to telecon
Read the rest
trol the arm to encode motions into model training) The system at this point is "research grade" which is at once expensive due to custom/nice materials/units and not super user friendly--you must know a lot. See the build instructions [5]. 0. https://github.com/evildmp/BrachioGraph 1. https://www.ros.org/ 2. https://github.com/interbotix 3. https://www.trossenrobotics.com/aloha-kits 4. https://github.com/tonyzhaozh/act 5. https://docs.google.com/document/d/1sgRZmpS7HMcZTPfGy3kAxDrq...
In Google DeepMind's Aloha Unleashed is pushing the boundaries of robot dexterity

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