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Dual-Stage Viewpoint Planner for Autonomous Exploration
MAV planning tools using voxblox as the map representation.
[IROS 2024] HPHS: Hierarchical Planning based on Hybrid Frontier Sampling for Unknown Environments Exploration
Modular framework for online informative path planning.
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
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的 AI 舆情监控助手与热点筛选工具！聚合多平台热点 + RSS 订阅，支持关键词精准筛选。AI 翻译 + AI 分析简报直推手机，也支持接入 MCP 架构，赋能 AI 自然语言对…
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.
[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