epicallypowerful 1.0.1

A library for controling actuators and reading sensors for scientific and robotics applications.

Epically Powerful 🦿🤖🦾🚶🏻‍♀️👨🏽‍💻

An open-source infrastructure for wearable robotics

Epically Powerful is an open-source robotics infrastructure that streamlines the core framework of robotic systems — handling communication, timing, actuator monitoring, visualization, and data logging — so researchers can focus on controllers, experiments, and science.

Built for modularity, it unifies power systems, single-board computers, actuators, and IMUs into a cohesive plug-and-play setup. Designed for modularity and speeding up the custom build process, it offers:

• Python-based coding interfaces for easy integration with commercial QDD actuators and common IMU sensors
• Parts lists, compatibility guides, and tutorials for rapid hardware and software setup
• Example controllers and real-time visualization through PlotJuggler
• Extensive documentation on every step of the setup process

Epically Powerful lowers the barrier to building custom robotic systems without enforcing a pre-specified form factor, enabling researchers to go from raw hardware to modular, robust devices quickly and effectively.

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🤨 Why use it?

Epically Powerful was built by robotics researchers to make wearable robotics development faster, cleaner, and more reproducible.

• Hardware-agnostic: Works with multiple actuator and sensor brands — you’re not locked into any vendor or form factor.
• Reproducible: Shared configuration files, open schematics, and detailed setup docs make it easy to rebuild across labs or replicate prior builds.
• Lower barrier to entry: Verified hardware compatibility, handling of low level and backend code operation, and Python-based interface lowers the barrier for roboticists at all stages.
• Built for iteration: Swap hardware and test new controllers with minimal reconfiguration.
• Open and vetted: Maintained by a research community actively extending its capabilities across new hardware platforms and verified by multiple research groups.

In short, Epically Powerful turns “getting your robot to run” from a multi-week endevour into a single-day setup.

🛠️ Installation

You can install EpicallyPowerful via PyPI using pip by running:

pip install epicallypowerful

We recommend using our documentation website for guidance on identifying your hardware components, setting up and assembling your system, and verifying software functionality.

That’s it! You’re ready to build something (ba dum tss) epically powerful.

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📘 Documentation

Full documentation (including API, part picker, hardware setup, and usage examples) can be found in the documentation website.

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⚙️ Brief Overview of Supported and Tested Hardware

• Actuators: CubeMars AK series, RobStride series, CyberGear Micromotor
• Single-board computers (SBCs): NVIDIA Jetson Orin Nano and Raspberry Pi
• IMUs: MicroStrain (MSCL) and MPU-9250 (I²C) (todo!!! Christoph OpenIMUS?)
• Power: Li-Ion drill batteries and LiPo options

See the full Part Picker and Setup pages in the documentation for model-specific recommendations, wiring diagrams, accommodating components (e.g. CAN transceivers, fuses, safety pouches, etc.).

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📝 Citation

If you use Epically Powerful in your research or publications, please cite:

JK Leestma, SR Nathella, CPA Nuesslein, S Mathur, GS Sawicki, and AJ Young, "Epically Powerful: An open-source software and mechatronics infrastructure for wearable robotic systems", (in review at IEEE Access). DOI: [placeholder] todo!!!!

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🧰 Contributing & Community

We welcome contributions from the robotics community! If you have improvements, extensions, or bug fixes, feel free to open a pull request or start a discussion under the “Issues” tab. We also use GitHub Discussions as a space for conversation — a great spot for questions, implementation ideas, suggestions for new features, connecting with other users, or sharing projects built with Epically Powerful.

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📄 License

This project is released under the GPLv3 License.

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👩🏼‍💻 Papers Powered by Epically Powerful

• JK Leestma, S Mathur, M Anderton, GS Sawicki, and AJ Young, Dynamic duo: Design and validation of an autonomous frontal and sagittal actuating hip exoskeleton for step placement modulation during perturbed locomotion, Robotics and Automation Letters, 2024.