🕷️ SPDR Bot – 3D Printable 4-Legged Spider Robot
A walking robot you can build, customize, and train in simulation.
Ever wanted to build your own walking robot—something inspired by Boston Dynamics, but achievable with a 3D printer and a bit of code? Meet SPDR Bot, a four-legged spider-like robot designed for makers, hobbyists, and robotics nerds who want to dive into modern robotics without spending a fortune.
I designed SPDR Bot from the ground up in Fusion 360, with 12 servos (3 per leg) and a spacious chassis that comfortably fits a Jetson Nano (or a Raspberry Pi Pico if you’re going lightweight). Every part is optimized for FDM 3D printing, tested in PETG, and engineered for practical assembly, even if you’re not a mechanical engineer.
But this isn’t just a cool-looking robot. It’s a platform for learning, simulation, and experimentation. You’ll be able to train the bot to walk in NVIDIA Isaac Sim using reinforcement learning, just like I did—with full support for exporting the design to URDF, ready for physics simulation and AI-based training.
This is a digital product!!! After purchase, you will receive an email with all the files.
🎁 What You Can Get for Free
Just want to play with the simulation or try reinforcement learning in Isaac Sim?
You’re in luck—the URDF files and simulation setup are completely free and available on my GitHub:
👉 github.com/indystrycc/spdrbot
You’ll find everything needed to load the robot into Isaac Sim, explore joint controls, test movement algorithms, and even train your own walking policy. Perfect if you’re more into code than cables.
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Simulation & URDF – Free on GitHub
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3D Printable Files & Fusion Design – Available here if you want to build the real thing
✅ What’s Included:
- STL and 3Mf files for all 3D printed parts (tested & print-ready)
- Fusion 360 design file (.f3d) for modification and customization
- Complete assembly in STEP (.step) format for easu import to any CAD software
- MicroPython code used on the Raspberry Pi Pico to control the servos
💡 Features:
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4-Leg Spider Design: Inspired by nature, engineered for balance and adaptability
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12-Servo Locomotion: Walk, crawl, or wobble—it’s up to your algorithm
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Fusion 360 Editable: Change the frame, add sensors, or remount the brain—easily customizable
- ORP design rules: Main plates of the robot are designed according to the OpenRoboticPlatform design rules
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Simulation-First Workflow: Test motion and train behaviors in Isaac Sim before touching real hardware
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Beginner-Friendly Assembly: No exotic tools or materials needed. Basic screws, servo tester, cable wrap (and a bit of patience)
🔧 Tech Requirements:
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12x 25kg/cm servos (recommended)
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Jetson Nano or Raspberry Pi Pico + servo controller (e.g., PCA9685 board)
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Standard PETG or PLA+ filament
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Optional: TPU for flexible feet
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Simulation: NVIDIA Isaac Sim / Isaac Lab (requires an RTX GPU if you want to go full power)
👨🔬 Who is this for?
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Makers who want a fun but technical challenge
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Educators and students looking to teach or learn robot locomotion
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AI & simulation enthusiasts wanting to explore reinforcement learning
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Fusion 360 users eager to hack, tweak, and re-engineer
📦 Instant Digital Download
As soon as you order, you’ll get instant access to all files via your account. No waiting, no shipping—just print and build.
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