Design of Coordination System for Composite Mobile Robot Platform Oriented to Nuclear Fusion Vessel

2021 ◽  
Vol 40 (2) ◽  
Author(s):  
Qiang Zhang ◽  
Bo Song ◽  
Bin Cai ◽  
Yuxiang Sun
Keyword(s):  
Mobile Robot ◽  
Nuclear Fusion ◽  
Coordination System ◽  
Robot Platform

Autonomous mobile robot platform with multi-variant task-specific end-effector and voice activation

2016 ◽  
Author(s):  
Jonathan Tapia ◽  
Eric Wineman ◽  
Patrick Benavidez ◽  
Aldo Jaimes ◽  
Ethan Cobb ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Autonomous Mobile Robot ◽  
End Effector ◽  
Robot Platform

scholarly journals Practical Model for Energy Consumption Analysis of Omnidirectional Mobile Robot

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1800
Author(s):  
Linfei Hou ◽  
Fengyu Zhou ◽  
Kiwan Kim ◽  
Liang Zhang
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Mobile Robot ◽  
Load Capacity ◽  
Working Environment ◽  
Energy Consumption Analysis ◽  
Mecanum Wheel ◽  
Save Energy ◽  
Energy Consumption Modeling ◽  
Robot Platform

The four-wheeled Mecanum robot is widely used in various industries due to its maneuverability and strong load capacity, which is suitable for performing precise transportation tasks in a narrow environment. While the Mecanum wheel robot has mobility, it also consumes more energy than ordinary robots. The power consumed by the Mecanum wheel mobile robot varies enormously depending on their operating regimes and environments. Therefore, only knowing the working environment of the robot and the accurate power consumption model can we accurately predict the power consumption of the robot. In order to increase the applicable scenarios of energy consumption modeling for Mecanum wheel robots and improve the accuracy of energy consumption modeling, this paper focuses on various factors that affect the energy consumption of the Mecanum wheel robot, such as motor temperature, terrain, the center of gravity position, etc. The model is derived from the kinematic and kinetic model combined with electrical engineering and energy flow principles. The model has been simulated in MATLAB and experimentally validated with the four-wheeled Mecanum robot platform in our lab. Experimental results show that the accuracy of the model reached 95%. The results of energy consumption modeling can help robots save energy by helping them to perform rational path planning and task planning.

Direct Kinematic Analysis of a Hexapod Spider-Like Mobile Robot

2011 ◽  
Vol 403-408 ◽  
pp. 5053-5060 ◽  
Author(s):  
Mostafa Ghayour ◽  
Amir Zareei
Keyword(s):  
Angular Velocity ◽  
Mobile Robot ◽  
Time Variation ◽  
Kinematic Analysis ◽  
The Body ◽  
Specific Time ◽  
Centre Of Gravity ◽  
Joint Variable ◽  
Direct Kinematics ◽  
Robot Platform

In this paper, an appropriate mechanism for a hexapod spider-like mobile robot is introduced. Then regarding the motion of this kind of robot which is inspired from insects, direct kinematics of position and velocity of the centre of gravity (C.G.) of the body and noncontact legs are analysed. By planning and supposing a specific time variation for each joint variable, location and velocity of the C.G. of the robot platform and angular velocity of the body are obtained and the results are shown and analysed.

On the Design and Fabrication of a Voice-controlled Mobile Robot Platform

2021 ◽  
Author(s):  
Saleh Ahmad ◽  
Mohammed Alhammadi ◽  
Abdulla Alamoodi ◽  
Ahmed Alnuaimi ◽  
Saif Alawadhi ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Robot Platform

Position and Orientation Control of Three Wheels Swerve Drive Mobile Robot Platform

2021 ◽  
Author(s):  
Eko Henfri Binugroho ◽  
Andri Setiawan ◽  
Yudha Sadewa ◽  
Prishandy Hamami Amrulloh ◽  
Kafin Paramasastra ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Orientation Control ◽  
Position And Orientation ◽  
Robot Platform

scholarly journals Rapid Relocation Method for Mobile Robot Based on Improved ORB-SLAM2 Algorithm

2019 ◽  
Vol 11 (2) ◽  
pp. 149 ◽  
Author(s):  
Guanci Yang ◽  
Zhanjie Chen ◽  
Yang Li ◽  
Zhidong Su
Keyword(s):  
Mobile Robot ◽  
Dynamic Environment ◽  
Original System ◽  
Tracking Accuracy ◽  
Vocabulary Size ◽  
Map Construction ◽  
Speed Tracking ◽  
Start Up ◽  
C Programming ◽  
Robot Platform

In order to realize fast real-time positioning after a mobile robot starts, this paper proposes an improved ORB-SLAM2 algorithm. Firstly, we proposed a binary vocabulary storage method and vocabulary training algorithm based on an improved Oriented FAST and Rotated BRIEF (ORB) operator to reduce the vocabulary size and improve the loading speed of the vocabulary and tracking accuracy. Secondly, we proposed an offline map construction algorithm based on the map element and keyframe database; then, we designed a fast reposition method of the mobile robot based on the offline map. Finally, we presented an offline visualization method for map elements and mapping trajectories. In order to check the performance of the algorithm in this paper, we built a mobile robot platform based on the EAI-B1 mobile chassis, and we implemented the rapid relocation method of the mobile robot based on improved ORB SLAM2 algorithm by using C++ programming language. The experimental results showed that the improved ORB SLAM2 system outperforms the original system regarding start-up speed, tracking and positioning accuracy, and human–computer interaction. The improved system was able to build and load offline maps, as well as perform rapid relocation and global positioning tracking. In addition, our experiment also shows that the improved system is robust against a dynamic environment.

Sign in / Sign up

Export Citation Format

Share Document