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Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to navigate to a random goal point in a simulated environment …
A curated list for vision-and-language navigation. ACL 2022 paper "Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions"
[IEEE RA-L'25] NavRL: Learning Safe Flight in Dynamic Environments (NVIDIA Isaac/Python/ROS1/ROS2)
Unitree Go2, Unitree G1 support for Nvidia Isaac Lab (Isaac Gym / Isaac Sim)
Official code and checkpoint release for mobile robot foundation models: GNM, ViNT, and NoMaD.
[ECCV 2024] Better Call SAL: Towards Learning to Segment Anything in Lidar
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
[ICLR 2023 & IJCV 2025] SeaFormer: Squeeze-enhanced Axial Transformer
Universal Trajectory Optimization Framework for Differential Drive Robot Class
iPlanner: Imperative Path Planning. An end-to-end learning planning framework using a novel unsupervised imperative learning approach
NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning
[CMU] A Versatile and Modular Framework Designed for Autonomous Unmanned Aerial Vehicles [UAVs] (C++/ROS/PX4)
3D Mapping Library for Autonomous Robots (C++/ROS)
The decision-making of multiple vehicles at intersection bases on level-k game and MCTS
The repository implements some decision-making and contingency planning (contingency model predictive control) methods.
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
This Python application provides a graphical user interface (GUI) for filtering ROS bag files based on specific topics and time intervals. The application is built using Tkinter and supports filter…
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
A lite version of Fast-planner, global planner, using MINCO back-end. 代码简洁，供参考学习。
A lightweight library for instance-level visual road marking extraction, parameterization, mapping, etc.