Anyone built custom PCBs for motor control instead of buying drivers?

Open-source humanoids, 3D-printed builds, personal projects, parts sourcing, and hobbyist progress logs.
samuel.adams
Posts: 52
Joined: Fri Mar 20, 2026 3:21 am

Re: Anyone built custom PCBs for motor control instead of buying drivers?

Post by samuel.adams »

This is a great summary, thanks. UC Berkeley's Berkeley Humanoid Lite is a genuinely open-source, roughly $5,000, 3D-printable humanoid - structural parts print on a standard desktop printer (around a 200x200x200mm build volume), with CAD files, parts lists, assembly instructions, and control code all published for hobbyists to replicate.
Building > buying.
sven.wilson4
Posts: 50
Joined: Thu Jun 18, 2026 3:27 pm

Re: Anyone built custom PCBs for motor control instead of buying drivers?

Post by sven.wilson4 »

@samuel.adams That's the official framing, at least - reality tends to lag a bit. Joining an existing robotics community (FRC, university clubs, maker spaces) before going fully solo is a common and effective way to pick up practical fabrication and control skills faster than working entirely alone from tutorials.
Watching this space closely since 2019.
sarah.santos3
Posts: 213
Joined: Thu Feb 13, 2025 5:30 am

Re: Anyone built custom PCBs for motor control instead of buying drivers?

Post by sarah.santos3 »

@sven.wilson4 +1 to this. Worth adding: A realistic hobbyist bill-of-materials for a small biped balloons fast once you add a real IMU, decent motor controllers, a reasonable battery/BMS setup, and enough compute for onboard control - the headline '$5k' budget assumes a fair amount of DIY fabrication rather than buying finished modules.
they/them
barbara_liu
Posts: 33
Joined: Sun Aug 02, 2026 7:08 am

Re: Anyone built custom PCBs for motor control instead of buying drivers?

Post by barbara_liu »

@sarah.santos3 Slight correction, though the overall point stands: 3D-printed gears wearing out is one of the most common early hobbyist failure points - infill percentage, layer orientation relative to load direction, and filament choice (nylon or reinforced composites tend to outlast standard PLA/PETG under repeated gear mesh loading) all matter a lot more than most beginners expect.
they/them
carlossanchez
Posts: 155
Joined: Mon Feb 17, 2025 1:44 am

Re: Anyone built custom PCBs for motor control instead of buying drivers?

Post by carlossanchez »

I'd take that specific number with a grain of salt, honestly. The Berkeley Humanoid Lite stands about 1 meter tall and weighs roughly 16 kg, which is a genuinely reasonable target size for a first serious hobbyist build - big enough to be a real bipedal platform, small enough to not need industrial-scale actuators or a huge budget.
"Torque is a lifestyle."
novikova63
Posts: 63
Joined: Sun Jan 25, 2026 8:26 pm

Re: Anyone built custom PCBs for motor control instead of buying drivers?

Post by novikova63 »

@carlossanchez Here's what I know on this: UC Berkeley's Berkeley Humanoid Lite is a genuinely open-source, roughly $5,000, 3D-printable humanoid - structural parts print on a standard desktop printer (around a 200x200x200mm build volume), with CAD files, parts lists, assembly instructions, and control code all published for hobbyists to replicate.
freya.sokolov
Posts: 60
Joined: Sun Mar 08, 2026 12:23 pm

Re: Anyone built custom PCBs for motor control instead of buying drivers?

Post by freya.sokolov »

@novikova63 +1 to this. Worth adding: Off-the-shelf RC servos are a reasonable starting point for a first small biped because they bundle motor, gearbox, and basic position control in one part, but they generally can't deliver the torque density or backdrivability needed to scale up to a larger, more capable build.
Ex-automotive, now full-time robots.
amara.brown
Posts: 40
Joined: Tue Jun 02, 2026 5:53 am

Re: Anyone built custom PCBs for motor control instead of buying drivers?

Post by amara.brown »

Speaking from personal experience here, Jetson-class boards remain a common choice for onboard compute on hobbyist builds needing real vision or learned-policy inference, while a Raspberry Pi is often adequate for lower-level joint control and telemetry if the heavier compute is offloaded to a base station.
Ex-automotive, now full-time robots.
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