How can AI help robots? These are great

Do you think robots are like this?

Actually there is such

Such

A robot doesn't have to look like a human, but it would ideally be able to perform a series of actions automatically like a human. For example, a logistics robot can carry goods by itself; a courier robot can deliver the courier upstairs; a sweeping robot can sweep the floor and charge itself, and so on.

The main application fields of robots

  • Healthcare: Robots in the healthcare industry take on many tasks, such as assisting doctors in operations, helping to deliver basic supplies such as medicines and bed sheets, and even producing cotton swabs and respirators to help fight the pandemic.
  • Family life: Some households use robots to sweep the floor, while others use robots to mow the lawn.
  • Manufacturing: Manufacturing is the first field to use robots, such as automotive assembly lines, robotic arc welding, steel cutting and food packaging.
  • Logistics: Logistics companies use robots to stack warehouse shelves, deliver goods, and even make short-haul deliveries.
  • Space Exploration: As you all know, the Mars rover is a robot that humans use to explore the universe.
  • Military: The famous Boston Dynamics robots are intended for military use, but Boston Dynamics robots are still far from being applied. At present, some reconnaissance robots are commonly used, such as disguising as a small bee to detect the situation; or some dangerous places, send a robot to detect and deal with it.
  • Entertainment: A robot used to accompany children or the elderly, for example, it can order songs, tell stories, and tell books.

Advantages and disadvantages of robots

advantage

  • Robots can work in dangerous environments, such as rescue and disaster relief, and human sacrifices can be avoided with robots.
  • Cost-effectiveness: The robot does not require sick days or coffee breaks, nor does it require life insurance, paid time off, or healthcare services such as dental and vision.
  • They increase productivity: robots can perform repetitive tasks indefinitely, leaving tedious, boring jobs to robots, freeing up employees for more challenging tasks or even learning new skills.
  • They provide better quality assurance: humans do repetitive work for a long time, and boring work can lead to inattention and accidents, but robots do not.

shortcoming

  • High startup costs: Robotic implementation is an investment risk and can be costly. While most manufacturers will eventually recoup their investment in the long-term, the short-term costs are high, starting with buying a fleet of robots, setting up a wireless network, or doing things like cloud migration.
  • They may take away jobs: for example, in some assembly line jobs, humans have been replaced by robots, which may cause some people to lose their jobs.
  • Need to recruit technical support staff: Robots require professional programmers, operators and maintenance personnel, and this labor cost may hold some small businesses back.

What is the role of AI in robotics?

Computer Vision: Through AI technology, robots can correctly identify objects they encounter, discern details, and learn how to navigate or avoid obstacles.

Manipulation: AI helps robots acquire the fine motor skills needed to grasp objects without destroying them.

Motion control and navigation: Robots no longer need humans to guide them along paths and processes. Artificial intelligence enables robots to analyze their environment and navigate themselves.

Natural Language Processing (NLP) and Real World Perception: Artificial intelligence and machine learning (ML) help robots better understand their surroundings, recognize objects around them, and understand data. These improvements increase the robot's autonomy and reduce its reliance on humans.

Want to join the robotics revolution?

Are you very interested in robots and hope to change our lives for the better through robots? The artificial intelligence and machine learning bootcamp jointly launched by Simplilearn St. Pron and IBM and Caltech covers important knowledge and skills related to robotics, such as statistics, Python data science, machine learning, deep learning, NLP and Reinforcement learning also covers the latest tools and technologies from the AI ​​ecosystem, and you can even participate in IBM's hackathon and Ask Me Anything to communicate and learn with more Daniels.

Guess you like

Origin blog.csdn.net/simplilearnCN/article/details/124280453