scholarly journals Experimental and Numerical Simulation of Neuro Fuzzy Based Cartesian Robot for Soft Material Cutting

2021 ◽  
Vol 19 (5) ◽  
pp. 420-436
Author(s):  
AJITH KUMAR R
Keyword(s):  
Robot Manipulator ◽  
Digital Camera ◽  
Detection Algorithm ◽  
Soft Material ◽  
Kinematic Modeling ◽  
Skeleton Model ◽  
Neuro Fuzzy ◽  
Manufacturing Applications ◽  
Accuracy And Repeatability ◽  
Material Cutting

Present technology used for soft material cutting robot are laser, water-jet, ultrasonic, plasma and oxy-gas cutting. The scope for designing and fabrication of soft material cutting robots are increasing due to its cost effectiveness and quality of cutting. Cartesian robots are mainly used in assembly and manufacturing applications. They also have a high degree of mechanical rigidity, accuracy, and repeatability. A previous work of more elementary kind was used as a skeleton model to start this work The purpose of the work is the maintenance and implementation of a 4 Degree of freedom robot and also to provide intelligence to the robot using Fuzzy logic and Neuro-Fuzzy for soft material cutting. The kinematic modeling of robot manipulator is done using Denavit-Hartenberg (D-H) parameterization method and Euler-Lagrange method is used for dynamic analysis to determine actuator torque for each joint. The image is acquired with the help of the digital camera which is fixed in a suitable position so that it can scan the entire workspace. Prewitt edge detection algorithm was used for image processing and analysis. The signal for the cutting is interfaced through the Arduino Uno r3 controller.

scholarly journals Design of Vehicle License Monitoring System to Control Theft by using IOT

2019 ◽  
Vol 9 (1) ◽  
pp. 2174-2177
Keyword(s):  
Internet Of Things ◽  
Heavy Traffic ◽  
External Disturbance ◽  
Digital Camera ◽  
Detection Algorithm ◽  
Rfid Tags ◽  
License Plate ◽  
Smart Transportation ◽  
Automated Object Detection ◽  
Vehicle Movement

Smart transportation for urban cities can be done using Internet of Things (IOT). An automated object detection algorithm is used to identify the vehicle by using VLPR system. Identification of vehicle in heavy traffic or in parking lots is difficult and hence we propose a system by using RFID tags where the vehicle movement and vehicle license plate number can be obtained accurately. So by using IOT we can access the data from anywhere and the vehicle movement can be identified. Instead of using digital camera where due to external disturbance the images gets blurred, so we go for RFID where due to radio frequency transmission they stores the data. The performance of the device will not get degraded due to shadow noise, thunders and due to heavy speed. The main aim of proposed system is to check the vehicles license number and drivers vehicle license and to verify the vehicles RC book renewal.

scholarly journals IoT Driven Automated Object Detection Algorithm for Urban Surveillance System in Smart City

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1687-1691
Keyword(s):  
Object Detection ◽  
Road Traffic ◽  
Smart Cities ◽  
Digital Camera ◽  
Detection Algorithm ◽  
License Plate ◽  
Surveillance Systems ◽  
Research Issues ◽  
Automated Object Detection ◽  
Research Challenge

Automated object detection algorithm is an important research challenge in intelligent urban surveillance systems for Internet of Things (IoT) and smart cities applications. In particular, smart vehicle license plate recognition and vehicle detection are recognized as core research issues of these IoTdriven intelligent urban surveillance systems. They are key techniques in most of the traffic related IoT applications, such as road traffic real-time monitoring, security control of restricted areas, automatic parking access control, searching stolen vehicles, etc. In this paper, we propose a novel unified method of automated object detection for urban surveillance systems. We use this novel method to determine and pick out the highest energy frequency areas of the images from the digital camera imaging sensors, that is, either to pick the vehicle license plates or the vehicles out from the images. The other sensors like flame and ultrasonic sensor are used to monitor nearby objects. Our proposed method can not only help to detect object vehicles rapidly and accurately, but also can be used to reduce big data volume needed to be stored in urban surveillance systems

Kinematic Modeling and Internal Motion Analysis of Proteins From a Robot Kinematics Viewpoint

2011 ◽  
Author(s):  
Keisuke Arikawa
Keyword(s):  
Jacobian Matrix ◽  
Robot Manipulator ◽  
Kinematic Model ◽  
Internal Motion ◽  
Robot Kinematics ◽  
Kinematic Modeling ◽  
Serial Link ◽  
Internal Motions ◽  
Basic Equations ◽  
External Forces

This paper discusses the kinematic modeling of proteins and the analysis of their internal motion from the viewpoint of robot kinematics. First, a kinematic model of a protein is introduced. This model consists of multiple serial link mechanisms and interaction lines (lines between alpha carbons). The protein model is regarded as a type of a robot manipulator that uses joint angles to control the lengths of the interaction lines, and the Jacobian matrix of the manipulator is derived. On the basis of this Jacobian matrix, the basic equations for calculating the deformation caused by external forces and evaluating the structural compliance of specified parts are derived. Finally, by combining the derived basic equations, we analyze the internal motions of lactoferrin and hemoglobin and compare the results with the reported measured characteristics of their internal motions. Despite the approximations by the model, the results obtained by the proposed method agree with the measured internal motion.

Adaptive neuro fuzzy based hybrid force/position control for an industrial robot manipulator

2014 ◽  
Vol 27 (6) ◽  
pp. 1299-1308 ◽  
Author(s):  
Himanshu Chaudhary ◽  
Vikas Panwar ◽  
Rajendra Prasad ◽  
N. Sukavanam
Keyword(s):  
Position Control ◽  
Robot Manipulator ◽  
Industrial Robot ◽  
Neuro Fuzzy
Sign in / Sign up

Export Citation Format

Share Document