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Leo Goldstien’s ManiPylator is a 3D-printed six-degree-of-freedom (6DOF) robotic arm built around the Toolbox Robotics EB-310 design. Klipper can move its joints, but not through native 6DOF robot-arm support: Goldstien adapts the firmware’s MANUAL_STEPPER command with custom configuration and macros. The project is best understood as a learn-by-building experiment that grows from assembling hardware into modeling, simulation, and attempted physical path following—not as a ready-to-run kit or a guaranteed recipe.
What is the ManiPylator?
ManiPylator—spelled “ManiPilator” in Hackaday’s 2024 feature—is Goldstien’s educational 6DOF manipulator based on the Toolbox Robotics EB-310 collaborative-arm design. The project is intended to make robotics tangible for beginners: assemble an arm, learn to move its joints, then work toward describing its motion mathematically and tracing a path.
The project page describes it as a “learn by building” effort. Goldstien’s first account explains that conventional robotics instruction had felt difficult to him, and that building a physical manipulator offered a more approachable way to learn. Hackaday introduced the project in 2024; Goldstien’s later project log, dated May 26, 2025, adds detail on kinematics, simulation, and path experiments. Read the ManiPylator project page and logs and Hackaday’s 2024 feature.
Can Klipper control a robot arm?
In this project, yes—with custom work. Klipper is open-source firmware commonly associated with 3D printers, and Goldstien says it does not offer built-in support for a 6DOF manipulator. He uses Klipper’s MANUAL_STEPPER command to move the arm’s joints, alongside custom configuration and macros.
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That distinction matters: installing Klipper alone does not give you robot-arm kinematics, coordinated 6DOF motion, or a path planner. The project is an adaptation of printer-oriented tools to a different machine, so readers should expect to develop control-specific configuration and understand how their motors and mechanics behave.
What hardware did Goldstien use?
The following is the author’s reported build, not a universal bill of materials. Motor, driver, controller, and power choices need to match the arm’s mechanical design and electrical requirements.
Rank #2
- Radius of gyration: 355mm.
- Rotation angle of 180 degrees.
- Height: 460mm (holder closed). Holder of the widest distance: 98mm.
- If the item doesn't come with the guide/manual, so please kindly contact us for help.
- The Kit without servos( In this clamp claw kits, you need assemble it. You'd better use MG996R servos for the joint bears larger force,while MG995 servos for joints bears relatively smaller force.)
| Part | Reported build detail |
|---|---|
| Stepper motors | Three 2 A NEMA17 and three 2.8 A NEMA23 four-wire steppers |
| Controller board | BIGTREETECH Octopus V1.1, described as supporting up to eight drivers |
| Motor drivers | TMC2209 drivers |
| Host computer | Raspberry Pi 4 |
| Power supply | 300 W adjustable DC supply |
| Printed parts and fasteners | About 2 kg of assorted PLA, plus M4 and M5 fasteners |
Goldstien’s 2024 bill of materials put the build at approximately CAD 580 / USD 430 at the time. That is a historical estimate, not a current quote; availability and component pricing can change. The project page contains the author’s component list and dated build notes.
How does the project move from joints to paths?
Moving a joint and placing the arm’s end effector at a requested position are different problems. The later log develops the mathematical and software layers needed to connect them.
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- Flexible Operation---6dof robot arm kit. Imported cup bearings are used at the steering joints, which not only makes the steering more flexible, but also allows the steering of the steering gear to be at the same center. Further, the chassis is in the form of a disc, which makes the manipulator turn left and right more flexible and smooth.
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Forward and inverse kinematics
Forward kinematics calculates the end-effector pose from known joint angles. Inverse kinematics works in the other direction: given a desired end-effector pose, it searches for joint angles that could reach it. Goldstien discusses Denavit-Hartenberg (DH) parameters and Elementary Transform Sequence (ETS) notation as ways to represent the arm’s geometry and transformations.
Robot description and simulation
An arm needs a machine-readable description of its links and joints to work with robotics software and simulation. Goldstien uses a URDF exported from Onshape, then describes working with Genesis and robotics-toolbox-python. The broader software environment named in the log also includes spatialmath-python, SymPy, Mosquitto, and Klipper. These tools form part of the author’s evolving workflow; the project account does not establish a universal installation recipe or supported version matrix.
Rank #4
- This is a ROT3U 6DOF aluminium robot arm DIY kit, need to assemble by yourself
- Rotation angle of 180 degrees
- Holder of the widest distance: 98mm
- Height: 460mm (holder closed).
- The kit included MG996R servos, for the joint bears larger force. And come with 6*25T metal horns mounts
Physical path experiment
Goldstien describes simulating a path before attempting to trace it with the physical arm using a laser pointer. He reports poor calibration and non-smooth motion, while saying the accuracy and repeatability were better than he expected from a 3D-printed arm. This is a qualitative account of an informal experiment, not a standardized accuracy test or an independent performance result.
What should you expect if you want to build one?
Approach the ManiPylator as a learning project, not as a specified commercial arm. The published account does not establish a payload rating, precision specification, guaranteed performance, or current component cost. Goldstien describes his setup as open-loop and mentions closed-loop control as a possible extension; the documented build should not be assumed to have position-feedback sensing.
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- Check that your chosen motors, drivers, controller, supply, and arm mechanics are electrically and mechanically compatible.
- Plan for custom Klipper configuration and macros; the firmware command used in the project is not itself a complete robot-arm control system.
- Expect calibration and motion quality to require attention when moving from simulation to hardware.
- Use the project’s dated logs to understand Goldstien’s choices, not as proof that the same components, prices, or software setup remain current.
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