🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
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Updated
May 19, 2025 - Python
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
[RSS2024] Official implementation of "Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation"
Robot Path Planning
nanoplan is a header-only C++11 library for search-based robot planning.
Omni Robotics Suite for Robot Modeling, Control, Planning, Navigation, Manipulation, Teleoperation and Learning in Simulation or Real World.
This project designs dynamic NAO robot dance choreographies using a custom A* algorithm enhanced by Large Language Models (LLMs). The system ensures creative, engaging, and safe movements tailored to specific constraints.
ROS2 package that can be integrated with TURTLEBOT3 hardwares within ROS2 environment for implementing Robot Platoon Control.
Implement djikstra on a point robot
🤖 No robot should touch a room it hasn't rehearsed in. Photos → World Labs Marble twin → tap the drawers → type a chore → a Tripo robot rehearses it live on every phone via Convex, then Gauntlet stress-tests it across shuffled layouts and paints failure heat on the floor.
User describe desired robot behavior, and code is automatically generated for the robot to execute the specified actions.
A modular rule-based expert system using Experta and A* search to plan optimal robot delivery paths in a smart flower exhibition grid.
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