Mobile Robot System With Semi-Autonomous Navigation Using Simple And Robust Person Following Behavior

2012 ◽  
Vol 1 (1) ◽  
pp. 44-62 ◽  
Author(s):  
Yutaka Hiroi ◽  
Shohei Matsunaka ◽  
Akinori Ito
Keyword(s):  
Mobile Robot ◽  
Autonomous Navigation ◽  
Robot System ◽  
Person Following

Development of Mobile Robot System Equipped with Camera and Laser Range Finder Realizing HOG-Based Person Following and Autonomous Returning

2014 ◽  
Vol 26 (1) ◽  
pp. 68-77 ◽  
Author(s):  
Masashi Awai ◽  
◽  
Atsushi Yamashita ◽  
Takahito Shimizu ◽  
Toru Kaneko ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Potential Method ◽  
Range Data ◽  
Laser Range Finder ◽  
Range Finder ◽  
Color Information ◽  
Robot System ◽  
Laser Range ◽  
Person Following ◽  
Starting Point

In this paper, we propose a mobile robot system which has functions of person following and autonomous returning. The robot realizes these functions by analyzing information obtained with camera and laser range finder. Person following is performed by using HOG features, color information, and pattern of range data. Along with person following, a map of the ambient environment is generated from range data. Autonomous returning to the starting point is performed by applying potential method to the generated map. We verified the proposed method by experiment using a wheel mobile robot in an indoor environment.

Design of automatic recharging system of robot based on RFID radio frequency technology

2020 ◽  
Vol 13 ◽  
Author(s):  
Zheng Xiao
Keyword(s):  
Mobile Robot ◽  
Radio Frequency ◽  
Engineering Application ◽  
Data Communication ◽  
Computer Application ◽  
Wireless Data ◽  
Robot System ◽  
Communication Module ◽  
Upper Computer ◽  
Better Than

Background: In order to study the interference of wired transmission mode on robot motion, a mobile robot attitude calculation and debugging system based on radio frequency (RF) technology is proposed. Methods: Microcontroller STM32 has been used as the control core for the attitude information of the robot by using MEMS gyroscope and accelerometer. The optimal attitude Angle of the robot is calculated through nRF24L01 which is the core of the wireless communication module, attitude acquisition module and wireless data communication upper computer application platform. Results: The results shows that the positioning accuracy is better than±5mm. Conclusion: The experimental results show that the proposed attitude solving and debugging system of mobile robot based on RF technology has better reliability and real-time performance. The propped model is convenient for debugging of mobile robot system and has certain engineering application value.

scholarly journals A novel navigation system for an autonomous mobile robot in an uncertain environment

Robotica ◽  
2021 ◽  
pp. 1-26
Author(s):  
Meng-Yuan Chen ◽  
Yong-Jian Wu ◽  
Hongmei He
Keyword(s):  
Mobile Robot ◽  
Navigation System ◽  
Autonomous Navigation ◽  
Clustering Algorithm ◽  
Modular Design ◽  
Optimal Path ◽  
Surrounding Environment ◽  
Computing Complexity ◽  
The Arts ◽  
Window Approach

Abstract In this paper, we developed a new navigation system, called ATCM, which detects obstacles in a sliding window with an adaptive threshold clustering algorithm, classifies the detected obstacles with a decision tree, heuristically predicts potential collision and finds optimal path with a simplified Morphin algorithm. This system has the merits of optimal free-collision path, small memory size and less computing complexity, compared with the state of the arts in robot navigation. The modular design of 6-steps navigation provides a holistic methodology to implement and verify the performance of a robot’s navigation system. The experiments on simulation and a physical robot for the eight scenarios demonstrate that the robot can effectively and efficiently avoid potential collisions with any static or dynamic obstacles in its surrounding environment. Compared with the particle swarm optimisation, the dynamic window approach and the traditional Morphin algorithm for the autonomous navigation of a mobile robot in a static environment, ATCM achieved the shortest path with higher efficiency.

An RPLiDAR based SLAM equipped with IMU for Autonomous Navigation of Wheeled Mobile Robot

2020 ◽  
Author(s):  
Muhammad Saad Aslam ◽  
Muhammad Irfan Aziz ◽  
Kanwal Naveed ◽  
Uzair Khaleeq uz Zaman
Keyword(s):  
Mobile Robot ◽  
Autonomous Navigation ◽  
Wheeled Mobile Robot

Development of Mobile Robot System Based on Computer Vision

2020 ◽  
Author(s):  
Zhimin Qin ◽  
Zhenqing Gao ◽  
Boyu Wen ◽  
Yuan Zhang ◽  
Anran Wu ◽  
...  
Keyword(s):  
Computer Vision ◽  
Mobile Robot ◽  
Robot System

A mobile robot system for automatic floor marking

2006 ◽  
Vol 23 (6-7) ◽  
pp. 441-459 ◽  
Author(s):  
Patric Jensfelt ◽  
Gunnar Gullstrand ◽  
Erik Förell
Keyword(s):  
Mobile Robot ◽  
Robot System
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