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ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot control. With an easy configuration process, this framework allows for swift integration, enabling your robot to operate with it in as little as ten minutes.

active 2024-10-04 → 2024-12-21 (UTC)

Complete coverage28,184 / 28,184 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-01 (UTC)
Events
60
Pushes
44
Pull requests
3
Issues
5
Stars
1
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 79 days from 2024-10-04 to 2024-12-21. Pushes: 44 total, peak 6 in a day. Pull requests: 3 total, peak 2 in a day. Issues: 5 total, peak 4 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
r-butl414100
Nico030211330

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.