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Run Windows apps such as Microsoft Office/Adobe in Linux (Ubuntu/Fedora) and GNOME/KDE as if they were a part of the native OS, including Nautilus integration. Hard fork of https://github.com/Fmst…
12 Lessons to Get Started Building AI Agents
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
[RA-L 2025] HDPlanner: Advancing Autonomous Deployments in Unknown Environments through Hierarchical Decision Networks - - Public code and model
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
🎯 告别信息过载,AI 助你看懂新闻资讯热点,简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台(抖音、知乎、B站、华尔街见闻、财联社等),智能筛选+自动推送+AI对话分析(用自然语言深度挖掘新闻:趋势追踪、情感分析、相似检索等13种工具)。支持企业微信/个人微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 推送,1分钟手机通知,无需…
Master programming by recreating your favorite technologies from scratch.
A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visual…
A real-time capable exploration and inspection path planner (next best view planning)
Graph-based Exploration Planner for Subterranean Environments
Open-source modules for ICRA 2019 submission "Learned Map Prediction for Enhanced Mobile Robot Exploration"
[IROS2024] Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity
A random dungeon generator made with Phaser (refactored)
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
A multi-platform proxy client based on ClashMeta,simple and easy to use, open-source and ad-free.
TARE Exploration Planner for Ground Vehicles
Leveraging system development and robot deployment for aerial autonomous navigation.
zoeyuchao / mappo
Forked from marlbenchmark/on-policyThis is the official implementation of Multi-Agent PPO.
[T-RO 2024] FALCON: Fast Autonomous Aerial Exploration using Coverage Path Guidance.
[ICCV 2025] GLEAM: Learning Generalizable Exploration Policy for Active Mapping in Complex 3D Indoor Scene
Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"
Exploring on Point Clouds: A Lightweight LiDAR-Based UAV Exploration Framework for Large-Scale Scenarios
Attention-based Deep Reinforcement Learning-based Autonomous Robot Exploration Planner in ROS1/ROS2