If you want to get into training robots badly:
You can start training real robots at home for under $300...
Thread 👇 (with links)
Here’s the exact low-barrier roadmap the community is using right now to go from zero to running ACT policies on a real arm in weeks.
Thread 👇
1/ Simulation First (Zero Cost)
Start in MuJoCo... honestly: the gold-standard physics engine used by DeepMind and every serious robotics lab.
Train policies, test behaviors, and iterate insanely fast before touching hardware.
→ Official site:
mujoco.org/
→ GitHub (install in minutes):
github.com/google-deepmind/m…
Pro tip: MuJoCo runs perfectly on a normal laptop.
2/ Grab the $200-300 Hardware Everyone’s Using
The SO-101 (also called SO-ARM101): the official open-source arm designed by Hugging Face’s LeRobot team.
3D-printed, easy to assemble, and built specifically for LeRobot ACT training.
Buy options:
→ WowRobo DIY/Assembled Kit (~$199):
shop.wowrobo.com/products/so…
→ Full Hugging Face SO-101 docs parts list:
huggingface.co/docs/lerobot/…
(Yes, real people are training on this exact arm for a few hundred bucks.)
3/ Install LeRobot Train ACT Policies
LeRobot is Hugging Face’s open-source robotics library (PyTorch-native).
It ships state-of-the-art policies like ACT (Action Chunking Transformers); perfect for precise manipulation tasks.
→ Main repo (star it):
github.com/huggingface/lerob…
→ ACT policy guide training examples:
huggingface.co/docs/lerobot/…
One-command training examples are in the repo. You’ll be running policies the same day.
4/ Add Multimodal LLMs for Spatial Intelligence
Hook up a cheap webcam multimodal LLM (like LLaVA, Qwen-VL, or even Claude-3.5) to:
• Understand your workspace in real time
• Select the right ACT policy based on what it sees
• Give natural-language commands
Exactly what
@KuphDev is doing in his livestreams (color-sorting ducks with SO-101 LeRobot multimodal vision).
This is the “spatially aware” leap everyone’s excited about.
5/ Sim2Real Transfer (The Magic Step)
Train in MuJoCo → fine-tune on the real SO-101.
LeRobot makes domain randomization and sim-to-real dead simple.
Start with basic pick-and-place, then level up to multi-step tasks.
6/ Next-Level Moves (Once You’re Hooked)
• Add a second arm for bimanual tasks
• Train with human demos (teleoperate the leader arm)
• Scale to mobile bases or even low-cost humanoids later
Total starter cost: simulation = free SO-101 ≈ $200-300 webcam laptop you already own.
The barrier is gone.
Hardware access was the only thing stopping most people... now it’s solved.
Who’s actually starting their robot journey this week?
Drop 🔥 if you’re in (or building right now).
Photo: Google Gemini
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