Analysis of voice control of a collaborative robot

Janíček, Matej; Ružarovský, Roman; Velíšek, Karol; Holubek, Radovan

doi:10.1088/1742-6596/1781/1/012025

Cited by 7 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This research combines two control systems, namely the Dobot Studio to control the movement of the manipulator, and the Arduino Mega 2560 which serves as a fuzzy program controller [74]- [76]. The combination of dual control is possible on the Dobot Magician manipulator because the device is equipped with a communication interface that facilitates the Dobot can be controlled with additional external controls [69], [77]- [79]. At the output of the system is Dobot Magician, a four DOF manipulator driven by stepper motors at the joint and servo motors at the End of the Effector.…”

Section: Manipulator Working System Diagrammentioning

confidence: 99%

Handling Four DOF Robot to Move Objects Based on Color and Weight using Fuzzy Logic Control

Nugroho,

Setiawan,

Munadi

2023

Journal of Robotics and Control

View full text Add to dashboard Cite

Manipulators are increasingly used in industry to improve efficiency in jobs that require precision, long duration, and repetitive work. This research was conducted on a laboratory scale to control manipulators on a pick-and-place system in the product storage and packing area. The object of this research is a four-degree-of-freedom (4-DOF) manipulator controlled using a fuzzy logic system. The hardware used is a conveyor machine to model the product delivery process, Dobot Magician as a 4-DOF manipulator, HX711 load cell serves as a weight sensor, TCS-3200 serves as a color sensor, and Arduino Mega 2560 as a controller. The software used is Dobot Studio as the main program to control the movement of the robot and Matlab to develop the Fuzzy Logic Control (FLC) function, which is embedded in the Arduino. Fuzzy logic control processes weight variables and color variables read by sensors as information data to control the movement of the manipulator. The results showed that the manipulator was able to pick up and place objects according to the path-planning coordinates. The testing data states that the precision and accuracy of the average coordinates of product pick and place against the path planning has an error deviation of 1.8%.

show abstract

Section: Manipulator Working System Diagrammentioning

confidence: 99%

Handling Four DOF Robot to Move Objects Based on Color and Weight using Fuzzy Logic Control

Nugroho,

Setiawan,

Munadi

2023

Journal of Robotics and Control

View full text Add to dashboard Cite

show abstract

“…Among the most forward-looking developments in manufacturing systems, Janícek et al have solved the control of a collaborative robot by voice control [7]. This control method is becoming increasingly popular, just think of smart homes.…”

Section: Introductionmentioning

confidence: 99%

Development of a knowledge base for an expert system supporting the decision of industrial mobile robot selection

Boleraczki

2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

With the growth of industrial mobile robots, more and more manufacturing companies are producing such robots. As a result, there is a growing market variety for companies wanting to adopt these robots. It is an economic advantage if a robot selected for a specific task can be operated optimally. To this end, the selection process must already be carried out with optimal operation in mind. In my research, I develop such an industrial mobile robot selection support system, which generates a knowledge base from a database and then supports the selection decision with an expert system. In this paper, I describe the structure, interrelationship and test results of this database and knowledge base.

show abstract

Convenience vs. Reliability? Evaluation of Human-Robot Interaction Preferences in a Production Environment

Schmidt,

Meitinger

2024

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Analysis of voice control of a collaborative robot

Cited by 7 publications

References 1 publication

Handling Four DOF Robot to Move Objects Based on Color and Weight using Fuzzy Logic Control

Handling Four DOF Robot to Move Objects Based on Color and Weight using Fuzzy Logic Control

Development of a knowledge base for an expert system supporting the decision of industrial mobile robot selection

Convenience vs. Reliability? Evaluation of Human-Robot Interaction Preferences in a Production Environment

Contact Info

Product

Resources

About