xArm-Developer/xarm_ros2
quality grade C, 57 out of 100ROS2 developer packages for robotic products from UFACTORY
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Robot learning, manipulation, autonomous driving, simulation and embodied agents.
Signals: robotics, ros, ros2, embodied-ai, autonomous-driving, self-driving-car, manipulation, drone
950 results
ROS2 developer packages for robotic products from UFACTORY
A general implementation of Monte Carlo Localization (MCL) algorithms written in C++17, and a ROS package that can be used in ROS 2.
Dexbotic: Open-Source Vision-Language-Action Toolbox
Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.
[RAL & ESI Highly Cited 🏆] OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition
Code exercises for the SLAM courses
Webots ROS 2 packages
Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)
A library for differentiable robotics on manifolds.
A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites
g2o: A General Framework for Graph Optimization
Deep learned, NVIDIA-accelerated 3D object pose estimation
Devkit and documentation for the NVIDIA Physical AI Autonomous Vehicles Dataset
knowledge
No description
A method for training neural networks that are provably robust to adversarial attacks.
Distributionally robust neural networks for group shifts
robopal: a multi-platform, modular robot simulation framework based on MuJoCo, mainly used for reinforcement learning and control algorithm implementation of robotic arms.
Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets
[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., Pi0, Pi0.5, GR00TN1.5. Fully open-sourced.
WAM-Diff: A Masked Diffusion VLA Framework with MoE and Online Reinforcement Learning for Autonomous Driving
[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
Hardware hacker’s flying probe automation stack for agent-driven target discovery, microscope mapping, safety-monitored CNC motion, probe review, and controlled pin probing.
Open Platform for Embodied Agents
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