Write your robot software in minutes. (by RoboCoachTechnologies)

ROScribe Alternatives

Similar projects and alternatives to ROScribe

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better ROScribe alternative or higher similarity.

ROScribe reviews and mentions

Posts with mentions or reviews of ROScribe. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-23.
  • Looking inside ROScribe and the idea of LLM-based robotic platform
    2 projects | | 23 Oct 2023
    Using LLMs to generate robot software LLMs (Large Language Models) belong to a class of AI specialized in processing human languages. This raises the question: how well an AI made for human language can perform when dealing with programming languages such as Python and C? In [4], we discussed how LLMs fare in code generation for a general-purpose software. It is notable that the power of the LLM is mainly in understanding the software spec (which is written in human language) rather than in code generation itself. Please refer to [4] for a discussion on how LLMs can be used to generate a general-purpose software, and how computer programming paradigm could evolve in the presence of LLMs. In ROScribe, we are not dealing with software generation in general, but rather, software generation in a special case of robotics. More specifically, we use LLMs to generate robot softwares within ROS framework.This limits the scope of the software design, and narrows down the LLM’s attention to a smaller task, resulting in lower likelihood of hallucination and higher quality outcome. Like humans, LLMs have limited attention span; having a smaller design space, when dealing with a more specific task of robot software, yields a better outcome compared to when dealing with a broader design space for a generic software design. Prompt engineering techniques, fine tuning, and priming could further help to limit the design space. In the next section, we will explain how ROScribe breaks down the given task to smaller pieces to implement the software through divide and conquer. To improve the quality of the generated code, and increase the efficiency of the LLM, other methods such as RAG (Retrieval Augmented Generation) can be used. Having a well-structured scope for designing robot softwares in ROS makes it easier to effectively integrate RAG in ROScribe and further improve the quality of the generated robot software. The current version of ROScribe (v0.0.3) doesn’t use RAG, and therefore we save the RAG discussion for future articles. In the current version of ROScribe, the entire robot software is generated by the LLM.
  • Looking inside GPT-Synthesizer and the idea of LLM-based code generation
    2 projects | | 4 Oct 2023
    We are a small early-stage startup company based in San Diego, California. We are exploring the applications of LLMs in software generation as well as some other domains. GPT-synthesizer is our general-purpose code generator. We have another open source product for special-purpose code generation in robotics domain, which is called ROScribe. You can learn more about these tools in our Github.
  • ROScribe release v0.0.3: Supporting ROS2
    2 projects | | 27 Sep 2023
    keeping human in the loop Inspired by GPT-Synthesizer, the design philosophy of ROScribe is rooted in the core belief that a single prompt is not enough to capture the details of a complex design. Attempting to include every bit of detail in a single prompt, if not impossible, would cause losing efficiency of the LLM engine. Powered by LangChain, ROScribe captures the design specification, step by step, through an AI-directed interview that explores the design space with the user in a top-down approach. We believe that keeping human in the loop is crucial for creating a high quality output.
  • ROScribe v0.0.3: using GPT to create robotics project in ROS1 and ROS2
    2 projects | | 26 Sep 2023
    With ROScribe v0.0.3 released yesterday, you can now build your robotics project automatically in ROS2 as well as ROS1.

    ROScribe uses GPT to ask you about the details of your robotic project, draws the RQT graph, generate the code for all ROS nodes, and writes the launch file and installation scripts. Here is a demo on how to use the tool:

    Release notes for v0.0.3:

    Now ROScribe supports both ROS1 and ROS2.

    2 projects | | 26 Sep 2023
  • GPT3.5 is not as bad as people think it is
    2 projects | /r/ChatGPT | 19 Sep 2023
  • ROScribe
    2 projects | | 13 Sep 2023
    Learning ROS (Robot Operating System) may prove to be challenging for robotic enthusiasts, college students, or professional engineers who are using it for the first time. Sometimes this skill barrier forces them to give up on ROS altogether and opt out for non-standard options. ROScribe eliminates the skill barrier for beginners, and saves time and hassle for skilled engineers.
  • A note from our sponsor - WorkOS | 25 Feb 2024
    The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →


Basic ROScribe repo stats
3 months ago

RoboCoachTechnologies/ROScribe is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of ROScribe is Python.

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