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Introduction to LiDAR SLAM: LOAM and LeGO-LOAM Paper and Code Explanation with ROS 2 Implementation

LiDAR SLAM is a crucial component in robotics perception, widely used in both industry and academia for its efficiency and robustness in localization and mapping. In robotics perception research, LiDAR

3D Computer Vision, Robotics, ROS, SLAM

Introduction to ROS 2 (Robot Operating System 2): Tutorial on ROS 2 Working, DDS, ROS 1 RMW, Topics, Nodes, Publisher, Subscriber in Python

ROS (Robot Operating System) is more than a decade old open-source robotics middleware software, initially developed by two PhD students from Stanford University. Fast-forward to 2024, ROS has evolved into

Robotics, ROS, SLAM

ROS 2 and Carla Setup Guide for Ubuntu 22.04

This is the third part of the Robotics Blog Series, focusing on a comprehensive ROS 2 and Carla setup guide for Ubuntu 22.04. We’ll begin by installing the Terminator terminal,

CUDA, Robotics, ROS

Understanding Visual SLAM for Robotics Perception: Building Monocular SLAM from Scratch in Python OpenCV

Introduction to Monocular SLAM: Have you ever wondered how Tesla’s Autonomous Vehicle views its surroundings and understands its position, and makes smart decisions to reach its target location? Well, the

3D Computer Vision, Camera Calibration, Robotics, Structure From Motion

Introduction to Robotics: A Comprehensive Guide to Robotics for Beginners

In this article we discuss a basics of Robotics. A comprehensive guide for anyone starting out in robotics, perception, motion planning and control.

Computer Vision, Deep Learning, Robotics

YOLO Loss Function Part 2: GFL and VFL Loss

In the preceding article, YOLO Loss Functions Part 1, we focused exclusively on SIoU and Focal Loss as the primary loss functions used in the YOLO series of models. In

Computer Vision, Deep Learning, Focal Loss, GFL, Loss Function, Object Detection, SIoU Loss Functions, VFL, YOLO