Asset Details
Do you wish to reserve the book?
Practical application of a safe human-robot interaction software
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Practical application of a safe human-robot interaction software
Do you wish to request the book?
Practical application of a safe human-robot interaction software
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Practical application of a safe human-robot interaction software
2020
Overview
PurposeBecause of the increased use of robots in the industry, it has become inevitable for humans and robots to be able to work together. Therefore, human security has become the primary noncompromising factor of joint human and robot operations. For this reason, the purpose of this study was to develop a safe human-robot interaction software based on vision and touch.Design/methodology/approachThe software consists of three modules. Firstly, the vision module has two tasks: to determine whether there is a human presence and to measure the distance between the robot and the human within the robot’s working space using convolutional neural networks (CNNs) and depth sensors. Secondly, the touch detection module perceives whether or not a human physically touches the robot within the same work environment using robot axis torques, wavelet packet decomposition algorithm and CNN. Lastly, the robot’s operating speed is adjusted according to hazard levels came from vision and touch module using the robot’s control module.FindingsThe developed software was tested with an industrial robot manipulator and successful results were obtained with minimal error.Practical implicationsThe success of the developed algorithm was demonstrated in the current study and the algorithm can be used in other industrial robots for safety.Originality/valueIn this study, a new and practical safety algorithm is proposed and the health of people working with industrial robots is guaranteed.
