Abstract
This paper deals with the application focused on motion control for a cooperating YuMi robot. The use of sensors on gloves or other controls to control robots may restrict both operation of the robot and the operator’s activities. Therefore, research focusing on camera-based monitoring of body parts or hand gestures is becoming increasingly popular. The presented approach is based on using a camera to recognize hand gestures and implementing artificial intelligence to control a YuMi robot with Python using a TCP/IP connection. The program can be expanded by integrating other IoT devices to help control the robot and collect data useful for a needed application.
Funder
Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference24 articles.
1. ISO/TS 15066:2016 Robots and Robotic Devices—Collaborative Robotshttps://www.iso.org/standard/62996.html
2. A 2019 Guide to Human Pose Estimation with Deep Learninghttps://nanonets.com/blog/human-pose-estimation-2d-guide
3. DeepPose: Human Pose Estimation via Deep Neural Networks
4. ImageNet classification with deep convolutional neural networks
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