The application of Youao robots in the entire education, science, and research community lays the foundation for accurately collecting and analyzing information, developing new technologies, and educating future generations. After risk assessment, intuitive and easy to program collaborative robots are safe for learners to operate and can be used for vocational and technical projects, teaching valuable and new automation skills to teenagers and adults to help bridge the gap between manufacturing skills. Collaborative robots can also be used to support complex higher education projects in a range of research fields. Small and lightweight collaborative robots can be deployed economically and efficiently, and can be installed in small laboratories and classroom desks. Collaborative robots perform well in strict laboratory environments and analytical processes that require avoiding contamination by personnel.

Product Brief

For the sake of security, open source, and rich interfaces, we recommend using the Youao collaborative robotic arm to build this laboratory, providing a platform based onROSThe open source feature package of the system can be expanded to:

AboutURKinematics and singularity analysis of robots;

URResearch on optimization problem of motion trajectory planning for robotic arm;

based onROSofURDesign and development of robot offline programming system;

based onROSofURDesign of robot teleoperation system;

Based on gesture understandingURResearch on Robot Vision Guidance and Control Methods;

URResearch on the grasping control of robotic arm combined with gripper;

Research on dual arm coordinated motion control, etc.

ROSIt is an open-source operating system used for robot development. It provides functions similar to those provided by operating systems, including hardware abstraction description, low-level driver program management, execution of shared functions, message passing between programs, program distribution package management, as well as tools and libraries for obtaining, building, writing, and running multi machine integrated programs.

ROSThe operational architecture is a way to useROSCommunication module implementation between modulesP2PA loosely coupled network connection processing architecture that performs several types of communication, including service based synchronizationRPC(Remote Procedure Call) Communication, based onTopicAsynchronous data stream communication and data storage on parameter servers.

Features:

1Point to point design (reduces data computation pressure, adapts to multi robot systems)

2Multi language support（C++ThePythonTheOctaveandLISPEtc.)

3Simplify and integrate (modular design, code can be compiled separately; utilize open source project code)

4Rich toolkits

5Free and open-source

Collaborative robotic arm research laboratory plan:

This solution has strong resource scalability and can be reasonably matched according to different needs. For detailed information, please consult our sales or technical personnel.

serial number	model	quantity	manufacturer	option
1	UR3(It can be other models)	1	UR robot	mandatory
2	Robotiqvisual camera	1	Robotiq	mandatory
3	Robotiq ft300sForce control sensor	1	Robotiq	mandatory
4	Robotiq 2f-85clamp jaw	1	Robotiq	mandatory
5	Robot stand	1	Non-standard customization	optional

Purpose of constructing a collaborative robotic arm laboratory in universities:

Build a research laboratory with robotic arms as the main body, including single arm, dual arm, gripper, vision, and sensor equipment, to facilitate teachers and students to conduct research on robotic arm related topics, basically meeting the needs of the vast majority of research. At the same time, it can also be used to explore the operation of robotic arms, simple serial communicationROSsystemMoveItTeaching tasks for trajectory planning and other course experiments to improve the construction of the robotics discipline.

Robotics technology is highly correlated with scientific research work. In the scientific research community, YOUO robots are used to help develop innovative solutions and create a foundation for objective information collection and analysis.URCollaborative robots have high precision and have been applied in multiple research institutions and universities. In addition,URAlso establishedURThe academy has lowered the threshold for collaborative robot knowledge learning, providing simple and intuitive free online courses, as well as classroom and virtual training courses taught by certified trainers worldwide.

Research education has always beenUROne of the areas of concern.'Skill gap' is no longer a new term, and manufacturers find it difficult to find skilled employees. Bringing collaborative robots into the classroom can help narrow this gap and provide students with the skills they need for employment. Collaborative robots are the best classroom partners, not only with high safety and ease of operation, but also the robots they will truly use in their work environment in the future.

rich configurationwidely used

YouaoUR3robot

load3kg

Weight:11kg

Repetitive positioning accuracy:±0.03 mm

Working radius:500mm

YouaoUR10erobot

load12.5kg

Weight:33.5 kg

Repetitive positioning accuracy:±0.03 mm

Working radius:1300 mm

YouaoUR5erobot

load5kg

Weight:20.6kg

Repetitive positioning accuracy:±0.03 mm

Working radius:850mm

YouaoUR3erobot

load3kg

Weight:11.2kg

Repetitive positioning accuracy:±0.03 mm

Working radius:500mm