A low cost mobile platform for educational robotic applications

2014 ◽  
Author(s):  
M. Prist ◽  
L. Cavanini ◽  
S. Longhi ◽  
A. Monteriu ◽  
D. Ortenzi ◽  
...  
Keyword(s):  
Low Cost ◽  
Mobile Platform ◽  
Robotic Applications

Maximum Correntropy Kalman Filter for Orientation Estimation With Application to LiDAR Inertial Odometry

2020 ◽  
Author(s):  
Seyed Fakoorian ◽  
Matteo Palieri ◽  
Angel Santamaria-Navarro ◽  
Cataldo Guaragnella ◽  
Dan Simon ◽  
...  
Keyword(s):  
Kalman Filtering ◽  
Inertial Measurement Unit ◽  
Low Cost ◽  
Attitude Estimation ◽  
High Rate ◽  
Measurement Unit ◽  
Orientation Estimation ◽  
Localization Accuracy ◽  
Inertial Measurement ◽  
Robotic Applications

Abstract Accurate attitude estimation using low-cost sensors is an important capability to enable many robotic applications. In this paper, we present a method based on the concept of correntropy in Kalman filtering to estimate the 3D orientation of a rigid body using a low-cost inertial measurement unit (IMU). We then leverage the proposed attitude estimation framework to develop a LiDAR-Intertial Odometry (LIO) demonstrating improved localization accuracy with respect to traditional methods. This is of particular importance when the robot undergoes high-rate motions that typically exacerbate the issues associated with low-cost sensors. The proposed orientation estimation approach is first validated using the data coming from a low-cost IMU sensor. We further demonstrate the performance of the proposed LIO solution in a simulated robotic cave exploration scenario.

Low-cost Mobile Platform for ROS

2017 ◽  
Vol 2017 (0) ◽  
pp. 1P1-G09 ◽  
Author(s):  
Ankit Ravankar ◽  
Abhijeet Ravankar ◽  
Takanori Emaru ◽  
Yukinori Kobayashi
Keyword(s):  
Low Cost ◽  
Mobile Platform

scholarly journals Kinematics, Structural Analysis and Control of 3-PPSS Parallel Manipulator

2019 ◽  
Vol 8 (6S4) ◽  
pp. 911-916
Keyword(s):  
Structural Analysis ◽  
Kinematic Analysis ◽  
Parallel Manipulator ◽  
Low Cost ◽  
Inverse Kinematic ◽  
Mobile Platform ◽  
Ansys Software ◽  
Marquardt Algorithm ◽  
Prismatic Joints ◽  
And Control

CIndustries encourage the use of low-cost compact and easily controllable equipment’s to implement automation due to the lack of skilled labors and low productivity. This demands the need for more efficient and affordable novel mechanisms and processes. In this paper, the kinematic analysis of a 3-PPSS (P— prismatic joint, S- spherical joint) parallel manipulator having an equilateral mobile platform is explained. The Kinematic analysis is done using the Modified Denavit-Hartenberg (DH) modelling technique. The inverse kinematic equations are further solved using Levenberg-Marquardt Algorithm to obtain an exact solution for the joint variables corresponding to an instantaneous pose of the end effector. Static structural analysis is done using ANSYS software to determine the deformations and stresses induced. Optimum dimensions are chosen for the manipulator based on this analysis. Finally, an ARDUINO based control is implemented to manipulate the mobile platform by controlling the active prismatic joints.

scholarly journals Implementation of Slam, Navigation, Obstacle Avoidance, and Path Planning of a Robust Mobile Robot Using 2D Laser Scanner

2021 ◽  
Author(s):  
Omid Karimpour
Keyword(s):  
Path Planning ◽  
Obstacle Avoidance ◽  
Low Cost ◽  
Laser Scanner ◽  
Memory Consumption ◽  
Localization And Mapping ◽  
Reliable Performance ◽  
Cost Efficient ◽  
Office Environments ◽  
Robotic Applications

Over the last decade, navigation and Simultaneous Localization and Mapping (SLAM) have become key players in developing robust mobile robots. Several SLAM approaches utilizing camera, laser scan, sonar and fusion of sensors were developed and improved by a number of researchers. In this thesis, comparisons of these methods were evaluated, especially those offering low cost benefits, and low computation and memory consumption. The aim of this thesis was to select the most reliable and cost-efficient approach for indoor autonomous robotic applications. Currently, there are numerous studies that have optimized these SLAM methods; however, they still suffer from various complications such as scale drifting and excessive computation. This study performed different experiments to observe these challenges in realworld environments. A modified Pioneer robot was used to implement the selected SLAM system and furthermore, perform obstacle avoidance and path planning in indoor office environments. The results and tests show the reliable performance of Gmapping after tuning its parameter and set right configurations.

A low-cost mobile platform for whole blood glucose monitoring using colorimetric method

2021 ◽  
Vol 162 ◽  
pp. 105814
Author(s):  
Han Zhang ◽  
Zheyuan Chen ◽  
Jing Dai ◽  
Wei Zhang ◽  
Yuqian Jiang ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Whole Blood ◽  
Low Cost ◽  
Colorimetric Method ◽  
Glucose Monitoring ◽  
Mobile Platform ◽  
Blood Glucose Monitoring

Temperature-compensated infrared-based low-cost mobile platform module for mass human temperature screening

2020 ◽  
Vol 59 (17) ◽  
pp. E112 ◽  
Author(s):  
Armote Somboonkaew ◽  
Sirajit Vuttivong ◽  
Panintorn Prempree ◽  
Ratthasart Amarit ◽  
Sataporn Chanhorm ◽  
...  
Keyword(s):  
Low Cost ◽  
Mobile Platform
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