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Deep-Gait-L6 An open-source repository for advanced gait planning models tailored to six-legged robots. Harnessing deep learning, these models enable precise, adaptive, and efficient locomotion for robotics applications. Ideal for researchers and developers in robotics and AI.

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Deep-Gait-L6

License Contributions Welcome Release Pending

Overview

Deep-Gait-L6 is an open-source project featuring gait planning models for six-legged robots. Designed with deep learning, these models enable efficient, adaptive, and precise robotic locomotion. The repository is a resource for developers and researchers aiming to innovate in robotics and AI.

Key Features

  • Open Source: Free to use, modify, and share under the MIT license.
  • Focused on Gait Planning: Specialized for hexapod robots.
  • Community-Oriented: Encourages collaboration and contributions.

Getting Started

Prerequisites

Ensure you have the following installed:

  • Python 3.10 or higher
  • Git

Installation

  1. Clone the repository:
    git clone https://github.com/OpenVanguard/deep-gait-L6.git
    cd deep-gait-L6
  2. Install dependencies:
    pip install -r requirements.txt

Contributing

We welcome contributions to improve Deep-Gait-L6! Please see the CONTRIBUTING.md file for guidelines on how to get started.

License

This project is licensed under the MIT License. See the LICENSE file for details.


For updates and discussions, follow OpenVanguard.

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Deep-Gait-L6 An open-source repository for advanced gait planning models tailored to six-legged robots. Harnessing deep learning, these models enable precise, adaptive, and efficient locomotion for robotics applications. Ideal for researchers and developers in robotics and AI.

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