6-DOF Humanoid Prototype R&D
Budget: $2 – $8 USD
I’m kicking off a fresh R&D sprint to build a compact 6-DOF humanoid arm capable of reliably picking and placing fragile objects that weigh up to 500 g. The mission is to go from concept to working bench-top prototype, relying heavily on 3D-printed parts and a low-code / no-code control stack so iterations stay quick and affordable.
Here’s what I need help with:
– Mechanical architecture and kinematics for a small-footprint, six-axis arm or torso-mounted manipulator that can achieve smooth, sub-millimetre positioning.
– Design-for-print part files (STL/STEP) matched to common FDM or resin printers plus a minimal BOM for actuators, bearings and fasteners.
– End-effector concept that cushions delicate loads yet keeps grasp repeatability high; suction, adaptive gripper or soft-robotic fingers are all on the table.
– Vision-sensor integration (depth or RGB-D) for object detection and pose estimation, finished off with low-code logic that a non-programmer can tweak.
– Basic pick-and-place demo routine proving it can move three different fragile items between set points without damage.
Successful delivery means I can assemble the rig with off-the-shelf parts, flash your control flows to an MCU or SBC, and reproduce the test sequence you supply on video. If this first prototype performs, there’s room to deepen the collaboration into higher-payload versions and enclosure design.
If you have hands-on experience marrying 3D-printed mechanics, vision sensors and low-code robotics platforms, I’d love to see what you can bring to the bench.
Here’s what I need help with:
– Mechanical architecture and kinematics for a small-footprint, six-axis arm or torso-mounted manipulator that can achieve smooth, sub-millimetre positioning.
– Design-for-print part files (STL/STEP) matched to common FDM or resin printers plus a minimal BOM for actuators, bearings and fasteners.
– End-effector concept that cushions delicate loads yet keeps grasp repeatability high; suction, adaptive gripper or soft-robotic fingers are all on the table.
– Vision-sensor integration (depth or RGB-D) for object detection and pose estimation, finished off with low-code logic that a non-programmer can tweak.
– Basic pick-and-place demo routine proving it can move three different fragile items between set points without damage.
Successful delivery means I can assemble the rig with off-the-shelf parts, flash your control flows to an MCU or SBC, and reproduce the test sequence you supply on video. If this first prototype performs, there’s room to deepen the collaboration into higher-payload versions and enclosure design.
If you have hands-on experience marrying 3D-printed mechanics, vision sensors and low-code robotics platforms, I’d love to see what you can bring to the bench.