Python package for the evaluation of odometry and SLAM
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Updated
Oct 31, 2024 - Python
Python package for the evaluation of odometry and SLAM
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
Automated, hardware-independent Hand-Eye Calibration
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
Convert KITTI dataset to ROS bag file the easy way!
Gazebo/ROS packages for underwater robotics simulation
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)
ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot control. With an easy configuration process, this framework allows for swift integration, enabling your robot to operate with it in as little as ten minutes.
A ROS package that implements a multi-robot RRT-based map exploration algorithm. It also has the image-based frontier detection that uses image processing to extract frontier points.
Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers
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