Stars
IMRCLab / crazyswarm2
Forked from USC-ACTLab/crazyswarmA Large Quadcopter Swarm
FA³ST - Fraunhofer Advanced Asset Administration Shell Tools (for Digital Twins)
Scala BigActors is an implementation of the BigActor Model as a Scala Domain-Specific Language.
Exercise for the Intelligent Robot Systems course, School of Electrical and Compute Engineering, AUTH, 2016
A free, open-source Java library for automata, graphs, and transition systems
Hugo based website with markdown + reveal slides for a workshop
UUKG: Unified Urban Knowledge Graph Dataset for Knowledge-Enhanced Urban Spatiotemporal Prediction
CrazyflieTHI / mav_comm
Forked from ethz-asl/mav_commThis repository contains message and service definitions used for mavs. All future message definitions go in here, existing ones in other stacks should be moved here where possible. Migrated to ROS2.
Python library to communicate with Crazyflie. Additional simlink for sim_cf2 Flight Simulator.
[NAACL 2025 Main] AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction.
A collection of resources and papers on Diffusion Models
The main firmware for the Crazyflie Nano Quadcopter, Crazyflie Bolt Quadcopter and Roadrunner Positioning Tag with modifications for sim_cf and sim_cf2 flight simulators.
Driver and tools for controlling Lenovo Legion laptops in Linux including fan control and power mode.
ROS2 Gazebo Flight Simulator for the Crazyflie. Based on sim_cf.
A self-organizing file system with llama 3
The easiest way to use Agentic RAG in any enterprise
Python library to communicate with the Crazyflie™
Example repository for autonomous behaviors using TurtleBot robots and behavior trees, as well as Docker workflows in ROS based projects.
The Free Software Media System - Server Backend & API
Curated repository of awesome Digital Twin resources
This repository contains tutorials to make ros gazebo plugins
🔥 💪 🤘 My summary of awesome-semantic-segmentation
Spring 5 showcase application with a Thymeleaf HTML5 interface
Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?