Camera calibrationless vision calibration for transfer robot system

2007 ◽  
Author(s):  
Nobutaka Kimura ◽  
Toshio Moriya ◽  
Kohsei Matsumoto
Keyword(s):  
Robot System

Development of Wire Suspended Robot System (ARANEUS 2.0) for Bridge Inspection

10.29007/zw9k ◽  
2020 ◽  
Author(s):  
Kazuhide Nakata ◽  
Kazuki Umemoto ◽  
Kenji Kaneko ◽  
Ryusuke Fujisawa
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Concrete Surface ◽  
Wire Length ◽  
High Definition ◽  
Bridge Inspection ◽  
Robot System ◽  
Inspection Method ◽  
Aerial Vehicle ◽  
The Wire

This study addresses the development of a robot for inspection of old bridges. By suspending the robot with a wire and controlling the wire length, the movement of the robot is realized. The robot mounts a high-definition camera and aims to detect cracks on the concrete surface of the bridge using this camera. An inspection method using an unmanned aerial vehicle (UAV) has been proposed. Compared to the method using an unmanned aerial vehicle, the wire suspended robot system has the advantage of insensitivity to wind and ability to carry heavy equipments, this makes it possible to install a high-definition camera and a cleaning function to find cracks that are difficult to detect due to dirt.

Recent Advances in Orthodontic Archwire Bending Robot System

2016 ◽  
Vol 9 (2) ◽  
pp. 125-135 ◽  
Author(s):  
Jingang Jiang ◽  
Zhao Wang ◽  
Yongde Zhang ◽  
Xiaoyang Yu ◽  
Xiaowei Guo ◽  
...  
Keyword(s):  
Robot System ◽  
Recent Advances

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.

Multi-Agent Robot System and Events Executing Using GPS Cloud

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Abdellah Redjaimia
Keyword(s):  
Robot System ◽  
Multi Agent

DEVELOPMENT OF BRIDGE INSPECTION ROBOT SYSTEM SUSPENDED BY WIRES

2020 ◽  
Vol 76 (1) ◽  
pp. 42-50
Author(s):  
Nobuhide ISHIDA ◽  
Shigeo HIROSE ◽  
Michele GUARNIERI
Keyword(s):  
Bridge Inspection ◽  
Robot System ◽  
Inspection Robot

Development of Mobile Tile Cladding Robot System

1991 ◽  
Author(s):  
Hannu Lehtinen ◽  
Lauri Koskela ◽  
Hannu Sainio ◽  
Mika Matikainen ◽  
Karl-Johan Seren ◽  
...  
Keyword(s):  
Robot System

Development of Automated Mobile Marking Robot System for Free Access Floor

2018 ◽  
Author(s):  
Takehiro Tsuruta ◽  
Kazuyuki Miura ◽  
Mikita Miyaguchi
Keyword(s):  
Free Access ◽  
Robot System

scholarly journals Simulation and Analysis of Self-Replicating Robot Decision-Making Systems

Computers ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 9
Author(s):  
Andrew Jones ◽  
Jeremy Straub
Keyword(s):  
Lower Risk ◽  
System Construction ◽  
System Configuration ◽  
Operating Environment ◽  
Robot System ◽  
Robotic Exploration ◽  
Mission Success ◽  
Robot Systems ◽  
System Configurations

Self-replicating robot systems (SRRSs) are a new prospective paradigm for robotic exploration. They can potentially facilitate lower mission costs and enhance mission capabilities by allowing some materials, which are needed for robotic system construction, to be collected in situ and used for robot fabrication. The use of a self-replicating robot system can potentially lower risk aversion, due to the ability to potentially replenish lost or damaged robots, and may increase the likelihood of mission success. This paper proposes and compares system configurations of an SRRS. A simulation system was designed and is used to model how an SRRS performs based on its system configuration, attributes, and operating environment. Experiments were conducted using this simulation and the results are presented.

scholarly journals Reinforcement-Learning-Based Asynchronous Formation Control Scheme for Multiple Unmanned Surface Vehicles

2021 ◽  
Vol 11 (2) ◽  
pp. 546
Author(s):  
Jiajia Xie ◽  
Rui Zhou ◽  
Yuan Liu ◽  
Jun Luo ◽  
Shaorong Xie ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Formation Control ◽  
Rapid Development ◽  
Gradient Algorithm ◽  
Robot System ◽  
Physical Relationship ◽  
Unmanned Surface Vehicles ◽  
Main Challenge ◽  
Control Scheme ◽  
Multi Robot

The high performance and efficiency of multiple unmanned surface vehicles (multi-USV) promote the further civilian and military applications of coordinated USV. As the basis of multiple USVs’ cooperative work, considerable attention has been spent on developing the decentralized formation control of the USV swarm. Formation control of multiple USV belongs to the geometric problems of a multi-robot system. The main challenge is the way to generate and maintain the formation of a multi-robot system. The rapid development of reinforcement learning provides us with a new solution to deal with these problems. In this paper, we introduce a decentralized structure of the multi-USV system and employ reinforcement learning to deal with the formation control of a multi-USV system in a leader–follower topology. Therefore, we propose an asynchronous decentralized formation control scheme based on reinforcement learning for multiple USVs. First, a simplified USV model is established. Simultaneously, the formation shape model is built to provide formation parameters and to describe the physical relationship between USVs. Second, the advantage deep deterministic policy gradient algorithm (ADDPG) is proposed. Third, formation generation policies and formation maintenance policies based on the ADDPG are proposed to form and maintain the given geometry structure of the team of USVs during movement. Moreover, three new reward functions are designed and utilized to promote policy learning. Finally, various experiments are conducted to validate the performance of the proposed formation control scheme. Simulation results and contrast experiments demonstrate the efficiency and stability of the formation control scheme.

scholarly journals Research of Intelligent Temperature Measuring Robot System

2021 ◽  
Vol 1757 (1) ◽  
pp. 012152
Author(s):  
Jianying Tian ◽  
Lianqin Jia ◽  
Shile Mu
Keyword(s):  
Robot System ◽  
Temperature Measuring
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