Titlebook: Introduction to Intelligent Robot System Design; Application Developm Gang Peng,Tin Lun LAM,Fan Yang Textbook 2023 Publishing House of Elec

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blight

faultfinder

燕麦

LiDAR SLAM for Mobile Robot,ose, and motion trajectory through sensors (e.g., LiDAR, camera), and constructs an incremental map based on its own position. LiDAR SLAM technology has become the core technology for autonomous localization and navigation of robots due to its performance advantages such as stability and reliability

insecticide

Autonomous Navigation for Mobile Robot,localization, followed by navigation. Many well-established packages in ROS can be used directly. For navigation, three packages are required: (1) move_base: performs path planning to move the mobile robot to the specified location; (2) gmapping, hector, cartographer, etc. construct maps based on Li

BILE

SLAM Based on Multi-Sensor,inly carry sensors such as camera and LiDAR to obtain measurement of the environment. However, due to the lack of accuracy and robustness as well as the complexity of the scene, the SLAM using a single sensor will cause degradation issues and fail to meet the requirements. The applications of multi-

VALID

explicit

Computer Vision, vision technology has been developed with the aim of providing machines with the same visual ability as humans, as well as higher precision ranging capabilities. This enables machines to be applied in various practical systems. For example, in a vision inspection system, a camera is used to capture

其他

牢骚

Visual SLAM for Mobile Robot,o different tracking algorithms, VSLAM can be classified into direct and feature (or indirect) methods. If based on optimization algorithms, visual SLAM can be classified into filter-based optimization (e.g., MonoSLAM) and graph-based optimization (e.g., parallel tracking and mapping (PTAM)). When t