Stars
Learn the basics of robotics through hands-on experience using ROS 2 and Gazebo simulation.
DynoSLAM: Dynamic GraphSLAM with Generative Graph Neural Networks for Real-World Social Navigation
A feed-forward 3D foundation model for reconstructing scenes from streaming data
[ECCV 2026] SLAM-Former: Putting SLAM into One Transformer
Paper Survey for Transformer-based SLAM
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
Efficient neural feature detector and descriptor
Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"
A community collection of OpenClaw use cases for making life easier.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Spec-driven development (SDD) for AI coding assistants.
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure stra…
[IROS 2025 Best Paper Award Finalist & IEEE TRO 2026] The Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
ROS 2 Navigation Framework and System
[ICLR 2026] SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
calibration for Imu and show gesture
[IROS2022] Robust Real-time LiDAR-inertial Initialization Method.
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero
☁️ Nextcloud server, a safe home for all your data
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points…
MaRS: A Modular and Robust Sensor-Fusion Framework
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
Official PyTorch implementation for "Large Language Diffusion Models"
From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)
[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry