Application of Optoelectronic Technology in Robotics Industry
With the rapid development of technology, robotics technology is increasingly demonstrating its importance role in industrial production and service fields. Optoelectronic sensor technology, as one of the core technologies of machine vision, has a wide range of applications in the fields of robotic perception, positioning, and industrial automation.
As a comprehensive exhibition covering the entire industrial chain of optoelectronic, The 28th China International Optoelectronic Expo (CIOE 2027) will showcase the empowerment of optoelectronic technology in the field of robotics from all aspects of key materials, core components, and manufacturing. It is a one-stop service platform for enterprises in robotics, drones, and automated equipment to find upstream and downstream products, innovative technologies, business negotiations, and exchange procurement.
- Date: September 8-10, 2027
Venue: Shenzhen World Exhibition and Convention Center, China
- CIOE at a Glance
*Projected data at CIOE 2027
Exhibit Profile
Key Materials: Optical Materials, Laser Materials, LiDAR Core Components, Display Materials.
Core Components: Industrial Sensors, 3D Vision, LiDAR, Industrial Cameras, MEMS Sensors, Motors, Displays, Reducers / Controllers, Lasers, Guides, Light Sources, etc.
Manufacturing: Robotic, Automated Equipment, Laser Equipment, Semiconductor Equipment, etc.
Aiming at the application of optoelectronic technology in the robotics industry, below industrial chain diagram is made according to the key exhibit profile in CIOE:
Concurrent Events
During the exhibition, more than 90 forums will be held, covering industry, application, and academic fields, to empower the development of the optoelectronic industry. Some of the conferences include:
-
● Embodied Intelligent Robots Integrated Application Forum
● The 41ˢᵗ MEMS Seminar: 3D Sensing and Imaging Technology Application
● 2026 Smart Home Development Trends Forum
*The conference themes are subject to the onsite program.
