A Custom Robotic ARM in CoppeliaSim

Chakraborty, Sudip; Aithal, P. S.

doi:10.47992/ijaeml.2581.7000.0091

Cited by 17 publications

(6 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[3] used a thermal camera to detect babies' existence and temperature. In this scenario, the author's work Chakraborty et al [23][24][25][26][27][28][29][30] demonstrates through research work, which is the backbone of the current research work. Then, we describe the objective of the research work.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Autonomous Fever Monitoring System For Child Using Arduino, ESP8266, WordPress, C# And Alexa

Chakraborty,

Aithal

2024

IJCSBE

View full text Add to dashboard Cite

Purpose: Nowadays, many electronic thermometers are available to measure baby fever. There are two types of thermometers. One type needs contact with the body, and the other is contactless. The contact-type thermometer must be touched to the body for a few minutes till the count is steady. Sometimes, our baby is unwilling to keep the thermometer on their body for a long time. Both contact and contactless thermometers are operated manually. The baby's body temperature cannot be captured When the mother or attender sleeps. However, the mother could not measure the temperature without sleeping all night. When the mother sleeps at night, and the baby's fever suddenly goes high, she needs to feed the baby fever medicine or water bath on the baby’s forehead. It would be good if someone continuously measured the temperature and informed us of some abnormal temperature detection. Yes, now we have the solution. We can solve the problem using our IoT technology. We can automatically measure the baby's body temperature even when the mother sleeps. If the temperature is in an abnormal range, the system draws attention, producing an audio and visual alarm. The system reads the temperature in every predefined interval and saves it to the cloud. When we visit the clinic, the doctor generally wants a temperature history. Using this procedure, the temperature graph can be autogenerated. In this research work, we describe a process to measure the baby's body temperature autonomously and make a backup to the cloud. Design/Methodology: we are making the project possible using IoT technology. We are using a contactless temperature sensor MLX90614. The temperature is processed by Arduino Mega and uploaded to the cloud through the Nodemcu using the MQTT protocol. We are saving the data to the WordPress database. Additionally, to extend the device’s functionality, we integrated Alexa. When the mother needs to get the temperature, she must ask Alexa over the voice command. The Alexa will respond to the current body temperature as voice. It is required basically at night when all high-intensity lights are off. Findings/Result: we created the prototype device and ran a proof of concept. The device runs for a couple of weeks. The device worked as expected. For the scope of improvement, we found a couple of points. For example, our device is bulkier due to the prototype; in practice, it is a handy device. The GUI is also more user-friendly. The complete process is automatic, and before the doctor's visit, we need to carry the temperature graph, which can be generated from our C# application. Originality/Value: The medical device, especially for a baby, needs to be designed so that the baby gets a little bit involved. We surfed the net and found most of the automated fever measurement devices use contact type, which creates several complications for the baby when it is attached to the baby’s body. So here, we added a couple of unique approaches to provide more value in our daily lives. We said a contactless temperature sensor so that there is no need for direct contact with the baby’s body. The second one is that it is Alexa-enabled. The temperature can be a voice response if the room has no light, especially at night. The third one is the autogenerated temperature graph, which is very helpful when we go for a doctor's consultation. The above features provide novelty. Type of Paper: Experimental-based Research.

show abstract

Section: Discussionmentioning

confidence: 99%

“…To process the data, they use the CNN algorithm. The author (Chakraborty et al [23][24][25][26][27][28][29][30]) has carried out several IoT-related works, which is the backbone of the current research work. What study is done in this paper: here, we study several research works in the current scenario.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Fever Monitoring System For Child Using Arduino, ESP8266, WordPress, C# And Alexa

Chakraborty,

Aithal

2024

IJCSBE

View full text Add to dashboard Cite

show abstract

“…The low level is the position and velocity control of the robot joints that are controlled by the robot controller. For the virtual representation, the physics simulation is used to simulate the characteristics and motion of a real collaborative painting robot [ 36 , 37 , 38 , 39 ]. The characteristic and motion outputs of a robot can be obtained and sent to the edge computer program [ 40 ]—edge computer—to process.…”

Section: Methodsmentioning

confidence: 99%

Digital Twin for a Collaborative Painting Robot

Chancharoen

Chaiprabha

Wuttisittikulkij

et al. 2022

Sensors

View full text Add to dashboard Cite

A collaborative painting robot that can be used as an alternative to workers has been developed using a digital twin framework and its performance was demonstrated experimentally. The digital twin of the automatic painting robot simulates the entire process and estimates the paint result before the real execution. An operator can view the simulated process and result with an option to either confirm or cancel the task. If the task is accepted, the digital twin generates all the parameters, including the end effector trajectory of the robot, the material flow to the collaborative robot, and a spray mechanism. This ability means that the painting process can be practiced in a virtual environment to decrease set costs, waste, and time, all of which are highly demanded in single-item production. In this study, the screen was fixtureless and, thus, a camera was used to capture it in a physical environment, which was further analyzed to determine its pose. The digital twin then builds the screen in real-time in a virtual environment. The communication between the physical and digital twins is bidirectional in this scenario. An operator can design a painting pattern, such as a basic shape and/or letter, along with its size and paint location, in the resulting procedure. The digital twin then generates the simulation and expected painting result using the physical twin’s screen pose. The painting results show that the root mean square error (RMSE) of the painting is less than 1.5 mm and the standard deviation of RMSE is less than 0.85 mm. Additionally, the initial benefits of the technique include lower setup costs, waste, and time, as well as an easy-to-use operating procedure. More benefits are expected from the digital twin framework, such as the ability of the digital twin to (1) find a solution when a fault arises, (2) refine the control or optimize the operation, and (3) plan using historic data.

show abstract

“…Now our experiment is complete. ➢ Our research paper on CoppeliaSim, "A Custom Robot" [12] can help basic coppeliaSim UI element introduction in the project folder. ➢ We can test and implement the 3D Printer G-Code.…”

Section: Methodsmentioning

confidence: 99%

“…Both controllers are designed from the UR5 kinematic model [10]. CoppeliaSim is used for demonstration of 6DF Robot [11], demonstration of Custom Robotic ARM [12], demonstration of Custom Robot using C# [13], and demonstration of forward and inverse kinematics [14].…”

Section: Introductionmentioning

confidence: 99%