Robots are constantly evolving and will be used in even larger utilities, becoming more autonomous, flexible, and cooperative. Ultimately, they will work alongside humans, and humans will learn from them. These robots will cost less and be more versatile than those previously used in manufacturing.
1. Bio-mechatronics technology
Biomechatronics is a rapidly developing cutting-edge science and technology in recent years. Applying this technology to robots, through the measurement and processing of neural information and the establishment of human-machine communication channels, neurobiological signals are transmitted to the robot, enabling it to execute human commands. Based on this principle, prosthetics can also "understand" human instructions and thus become an extension of the human body.
2. Security robot inspection technology
The intelligent inspection robot, equipped with infrared thermal imagers and visible light cameras, patrols the work area and transmits images and data to a remote monitoring system. It performs infrared temperature measurements on equipment nodes to promptly detect defects such as overheating. It can also use sound detection to assess the transformer's operating status. The robot automatically identifies and alarms for potential safety hazards and early signs of malfunctions, effectively eliminating these risks.
3. Big data and analytics technology
Data is becoming increasingly abundant, while human interpretive capabilities are finite. Computers can help humans identify their blind spots, and datafication allows computers and humans to communicate and collaborate. Big data-driven analytics have recently emerged in large numbers in global manufacturing, offering advantages such as optimizing product quality, saving energy, and improving equipment service.
4. Autonomous Robot Technology
Robots are constantly evolving and will be used in even larger utilities, becoming more autonomous, flexible, and cooperative. Ultimately, they will work alongside humans, and humans will learn from them. These robots will cost less and be more versatile than those previously used in manufacturing.
5. Simulation technology
The simulation will use real-time data to reflect the real world in a virtual model, including machines, products, people, and so on, which allows operators to test and optimize in virtual modeling.
6. Internet of Things (IoT) Embedded Technology
With the development of the Internet of Things (IoT) industry, more devices and even more unfinished products will be connected using standard technologies, enabling on-site communication and providing real-time responses.
7. Cloud computing robots
Cloud-based robotics will revolutionize the development of robots and greatly promote the improvement of software systems. In today's era, there is a greater need for cross-site and cross-enterprise data sharing, and cloud technology will enhance performance, enabling responses within milliseconds.
8. Over-limit robot technology
In the field of micro- and nano-manufacturing, robotics can help people make what was previously invisible and intangible visible and tangible, and even assemble and produce it. This micro- and nano-robot can directly extend the interaction forces between substances in the nanoscale environment, manipulating substances and materials at the micro- and nanoscale.
9. AVG Robot Collaboration Technology
Compared to a single robot working alone, collaborative operation among multiple robots is more important. This requires a complete scheduling system to ensure that numerous robots working simultaneously in the workshop coordinate and operate in an orderly manner. A multi-robot collaborative control algorithm platform can collaboratively control hundreds of intelligent robots to work together, completing functions such as order recognition, cargo positioning, automatic grasping, automatic packaging, and shipping.
10. Brainwave control technology
Remotely oriented robotic systems will become an indispensable part of people's lives in the future. Users will need to wear a hat that can read brainwave data and then train the robot's hands and feet to react accordingly through their imagination—in other words, controlling the robot's movement through thought. It can not only recognize various motion control commands through software but also actively avoid obstacles during movement, exhibiting high flexibility and ease of use.
For more information, please visit the Industrial Robots channel.
