Gripper design and implementation for small parts sorting and assembling of a dual-arm industrial robot
Collaborative robots have become a new trend in the robotics industry. It is shown that the collaboration between human and robot would improve the productivity for small or medium-sized manufacturers. Moreover, vision-enhanced robots have stood out compared to the old-style ones in accomplishing mo...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/68713 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-68713 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-687132023-03-04T19:04:40Z Gripper design and implementation for small parts sorting and assembling of a dual-arm industrial robot Guo, Pengsheng Chen I-Ming School of Mechanical and Aerospace Engineering Robotics Research Centre DRNTU::Engineering Collaborative robots have become a new trend in the robotics industry. It is shown that the collaboration between human and robot would improve the productivity for small or medium-sized manufacturers. Moreover, vision-enhanced robots have stood out compared to the old-style ones in accomplishing more flexible and diversified jobs in real-life working scenarios. This project aims to develop simulated industrial applications for a dual-arm collaborative robot, named Nextage, with visual enhancement by integrating Kinect device. The contributions of this report include a complete robot system design and a general guide for vision-enabled robot control algorithm. A system design comprises the mechanical structure of manipulators for both hands, electrical control of air suction, and simulated industrial working scenario. Moreover, the rationale behind the material selection and manufacturing method of gripper are also discussed. As for software development, essential packages required are proposed in order to communicate with Kinect device and robot in ROS environment. The report emphases the working principles for two core modules including object recognition and robot motion control. In order to achieve high accuracy of assembly process, the team has developed several calibration algorithms. At the end, states flow of two demos demonstrating result-based sorting based on color recognition and dual-arm cooperation based on contour recognition are illustrated. The implementation of this project hinges on connections between real-life industrial applications and novel vision-enhanced cooperation robot. Bachelor of Engineering 2016-05-31T02:48:32Z 2016-05-31T02:48:32Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/68713 en Nanyang Technological University 79 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering |
spellingShingle |
DRNTU::Engineering Guo, Pengsheng Gripper design and implementation for small parts sorting and assembling of a dual-arm industrial robot |
description |
Collaborative robots have become a new trend in the robotics industry. It is shown that the collaboration between human and robot would improve the productivity for small or medium-sized manufacturers. Moreover, vision-enhanced robots have stood out compared to the old-style ones in accomplishing more flexible and diversified jobs in real-life working scenarios. This project aims to develop simulated industrial applications for a dual-arm collaborative robot, named Nextage, with visual enhancement by integrating Kinect device. The contributions of this report include a complete robot system design and a general guide for vision-enabled robot control algorithm. A system design comprises the mechanical structure of manipulators for both hands, electrical control of air suction, and simulated industrial working scenario. Moreover, the rationale behind the material selection and manufacturing method of gripper are also discussed. As for software development, essential packages required are proposed in order to communicate with Kinect device and robot in ROS environment. The report emphases the working principles for two core modules including object recognition and robot motion control. In order to achieve high accuracy of assembly process, the team has developed several calibration algorithms. At the end, states flow of two demos demonstrating result-based sorting based on color recognition and dual-arm cooperation based on contour recognition are illustrated. The implementation of this project hinges on connections between real-life industrial applications and novel vision-enhanced cooperation robot. |
author2 |
Chen I-Ming |
author_facet |
Chen I-Ming Guo, Pengsheng |
format |
Final Year Project |
author |
Guo, Pengsheng |
author_sort |
Guo, Pengsheng |
title |
Gripper design and implementation for small parts sorting and assembling of a dual-arm industrial robot |
title_short |
Gripper design and implementation for small parts sorting and assembling of a dual-arm industrial robot |
title_full |
Gripper design and implementation for small parts sorting and assembling of a dual-arm industrial robot |
title_fullStr |
Gripper design and implementation for small parts sorting and assembling of a dual-arm industrial robot |
title_full_unstemmed |
Gripper design and implementation for small parts sorting and assembling of a dual-arm industrial robot |
title_sort |
gripper design and implementation for small parts sorting and assembling of a dual-arm industrial robot |
publishDate |
2016 |
url |
http://hdl.handle.net/10356/68713 |
_version_ |
1759856959885934592 |