scholarly journals Object-Moving Robot Arm based on Color

2019 ◽  
Vol 1 (3) ◽  
pp. 13-19
Author(s):  
Areepen Sengsalong ◽  
Nuryono Satya Widodo
Keyword(s):  
Moving Objects ◽  
Robot Arm ◽  
Test Results ◽  
System Testing ◽  
Green Is

The aim of this research is to make a robot arm moving objects based on color using 2 servo motors and 6 light photodiode sensors integrated with the Arduino Mega 2560 microcontroller.  The light photodiode sensor is used to detect red, green and blue colors. This system is equipped with an LCD to display the output of the Arduino Mega 2560 which is a notice of the color detected. The process of moving objects based on color is simulated using 3 colored objects namely red, green, and blue. The robot arm gripper will move to pick and move objects based on color, when the light photodiode sensor detects a color input.  Based on system testing, overall the robot arm is functioning properly, i.e. it shows that the robot arm is able to move objects automatically with large test results obtained by 0 °, 40 °, 60 °, 90 °, and 120 °. Whereas for sensor testing the value of red is 400, the value of green is 150, and the value of blue is 600.

The Command of a Virtual Industrial Robot Using a Dedicated Haptic Interface

2013 ◽  
Vol 837 ◽  
pp. 543-548 ◽  
Author(s):  
Silviu Butnariu ◽  
Florin Gîrbacia
Keyword(s):  
Haptic Feedback ◽  
Industrial Robot ◽  
Structural Similarity ◽  
Haptic Device ◽  
Haptic Interface ◽  
Robot Arm ◽  
Test Results ◽  
Human Arm ◽  
Angular Data ◽  
Articulated Robot

In this paper is presented a study regarding the possibilities of commandinga virtual robot using a haptic interface. In order to demonstrate the functionality of this concept, a dedicated device with 1 DOF was developed. This device consists of twin motor-gearbox able to acquire and transmit the angular data of the shaft and return a haptic feedback corresponding to the robot movement. The proposed haptic device makes it possible to command one joint of an industrial robot and can be used as an essential component for the development of an exoskeleton for human arm and is able to generate a haptic interaction for all the joints. The exoskeleton solution will allow a structural similarity between the haptic device and an articulated robot arm. The test results with haptic feedback scenarios show that the proposed system can help inexperienced users to handle robot operation and programming tasks in an intuitive way.

All That Is Green Is Not PKU

PEDIATRICS ◽  
1978 ◽  
Vol 62 (5) ◽  
pp. 859-859
Author(s):  
Raymond Lee
Keyword(s):  
Ferric Chloride ◽  
False Positive ◽  
Chloride Solution ◽  
Ferric Chloride Solution ◽  
Positive Test ◽  
Test Results ◽  
Green Is ◽  
False Positive Test ◽  
Disposable Diapers

Tests for phenylketonuria (PKU) using 10% ferric chloride solution dropped on wet diapers are done frequently. Recently, I have found a number of false-positive PKU tests, as have my colleagues. Some of these false-positive tests show up as green spots that appear immediately. On further investigation, we found that false-positive tests were occurring in infants who wore disposable diapers marketed by Montgomery Ward, Sears Roebuck, and Co-Op. We tested unused diapers of the above brands and found that they too give false-positive test results.

sensLAB: TESTING MOTION AND PRESENCE SENSORS FOR SMART LIGHTING

2021 ◽  
Author(s):  
F. Stuker ◽  
F. Rinderer ◽  
P. Blattner
Keyword(s):  
Test Facility ◽  
Robot Arm ◽  
Test Results ◽  
Smart Lighting ◽  
Intelligent Sensors ◽  
Digital Test ◽  
Machine Readable ◽  
Automated Measurement System ◽  
Readable Format ◽  
Machine Readable Format

For further efforts in saving energy in lighting installations, intelligent sensors are indispensable. Despite the fact such sensors are available precise and reproducible measurements of the coverage areas are missing. Therefore, METAS decided in 2020 to install the world's first manufacturer-independent fully automated measurement system to test passive infrared motion and presence sensors according to the recently published standard IEC 63180:2020. The test facility allows reproducible measurements of radial and tangential movements by moving different scaled and heated dummies on linear tracks. Furthermore, the presence detection can be measured with an automated robot arm. The test results are provided in a digital test report and the data is available in a machine-readable format to be further processed in designing and planning softwares.

scholarly journals Direction-Aware Continuous Moving K-Nearest-Neighbor Query in Road Networks

2019 ◽  
Vol 8 (9) ◽  
pp. 379 ◽  
Author(s):  
Dong ◽  
Yuan ◽  
Shang ◽  
Ye ◽  
Zhang
Keyword(s):  
Los Angeles ◽  
Data Streams ◽  
Moving Objects ◽  
Nearest Neighbor ◽  
Road Networks ◽  
Test Results ◽  
K Nearest Neighbor ◽  
K Nearest Neighbors ◽  
Moving Direction ◽  
Query Algorithm

Continuous K-nearest neighbor (CKNN) queries on moving objects retrieve the K-nearest neighbors of all points along a query trajectory. They mainly deal with the moving objects that are nearest to the moving user within a specified period of time. The existing methods of CKNN queries often recommend K objects to users based on distance, but they do not consider the moving directions of objects in a road network. Although a few CKNN query methods consider the movement directions of moving objects in Euclidean space, no efficient direction determination algorithm has been applied to CKNN queries over data streams in spatial road networks until now. In order to find the top K-nearest objects move towards the query object within a period of time, this paper presents a novel algorithm of direction-aware continuous moving K-nearest neighbor (DACKNN) queries in road networks. In this method, the objects’ azimuth information is adopted to determine the moving direction, ensuring the moving objects in the result set towards the query object. In addition, we evaluate the DACKNN query algorithm via comprehensive tests on the Los Angeles network TIGER/LINE data and compare DACKNN with other existing algorithms. The comparative test results demonstrate that our algorithm can perform the direction-aware CKNN query accurately and efficiently.

Decoupling Robust Control of Three-Link Direct Drive Robot Arm

2012 ◽  
Vol 443-444 ◽  
pp. 258-266
Author(s):  
C. Zhang ◽  
G. Zhao ◽  
Y. Xiao ◽  
X. Yang
Keyword(s):  
Robust Control ◽  
Experimental Test ◽  
Coupling Effect ◽  
Torque Control ◽  
Robot Arm ◽  
Test Results ◽  
Direct Drive ◽  
Decoupling Method ◽  
Computed Torque Control ◽  
Computed Torque

This paper introduces the mechanical structure of a three-link direct drive SCARA for wafer handling application. The dynamic modeling of the presented SCARA is derived and the coupling effect of the system is studied. A decoupling method based on computed torque control is employed in the implementation. Robust control is applied to design the SISO controllers after the system is decoupled. The experimental test results demonstrate satisfying dynamic, settling and static performances by utilizing the decoupling robust control.

Research of Tracking and Prediction of Moving Object with Kalman

2014 ◽  
Vol 599-601 ◽  
pp. 1287-1290
Author(s):  
Zhong Yong Wang ◽  
Song Chao Yang
Keyword(s):  
Computer Simulation ◽  
Convex Hull ◽  
Optical Flow ◽  
Moving Objects ◽  
Test Results ◽  
Tracking Accuracy ◽  
Knowledge Use ◽  
Separation Problem ◽  
Forecasting Models ◽  
Harris Corner

This paper puts forward a complete track forecasting models, using Kalman filter to track and predict the movement of objects without prior knowledge. Use the extracted Harris corner to calculate optical flow between two frames by L-K pyramid method, getting the convex hull of moving objects by optical flow clustering to separate the moving objects from background. Tracking and predicting the gravity of moving objects convex hull can solve the occlusion and separation problem between moving objects. Computer simulation and field test results show that the proposed method has higher tracking accuracy, and small amount of calculation.

scholarly journals Examining Workcell Kinematic Chains to Identify Sources of Positioning Degradation

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Alexander Klinger ◽  
Brian A. Weiss
Keyword(s):  
Moving Objects ◽  
Production Control ◽  
Industrial Robot ◽  
Robot Arm ◽  
Kinematic Chains ◽  
Degradation Monitoring ◽  
Monitoring And Diagnostics ◽  
Six Degree Of Freedom ◽  
The Impact ◽  
Position Monitoring

Automated industrial workcells are becoming increasingly complex and varied due to greater accessibility of advanced robotic and sensing technologies. Degradation monitoring and diagnostics must advance to reduce the impact of increased system complexity on troubleshooting faults and failures and to optimize system operations. A new methodology is being developed for the design and implementation of monitoring kinematic chains commonly found in robot workcells. This method will enable the identification of degraded components which contribute to relative positioning accuracy error between moving objects, tools, devices, and other components. The proposed methodology is being developed and tested on a six degree of freedom industrial robot arm workcell use case developed at the National Institute of Standards and Technology (NIST). Industrial robot users and integrators can use this method to examine the kinematic chains within their workcells and design a key position monitoring implementation. With the added key position monitoring, degradations can be identified at a designed resolution allowing for enhanced maintenance planning and production control. The methodology will be extended to other manufacturing workcells in the future.

A sealing robot system with visual seam tracking

Robotica ◽  
1984 ◽  
Vol 2 (1) ◽  
pp. 41-46 ◽  
Author(s):  
Susumu Sawano ◽  
Junichi Ikeda ◽  
Noriyuki Utsumi ◽  
Yukio Ohtani ◽  
Akira Kikuchi ◽  
...  
Keyword(s):  
Solid State ◽  
Degrees Of Freedom ◽  
Seam Tracking ◽  
Robot Hand ◽  
Robot Arm ◽  
Test Results ◽  
Robot System ◽  
Car Body ◽  
Flexible Mechanism

SUMMARYA new robot system has been introduced which was designed to seal the seams of car body panels. The system has nine degrees of freedom, and includes the following features: (1) A seam tracking servo using a solid-state TV camera is mounted at the robot hand to compensate for the seam deviations. (2) The robot arm is equipped with a flexible mechanism at the wrist to provide a wide working range for the seal nozzle. (3) A two axis orthogonal robot carrier is provided to make the robot follow the work on an indexed conveyor during the sealing operation. This paper deals with the structure and operation of the system and presents test results obtained on a sealing line.

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