How AI Enhances Robotics: Key Applications

Is this what you think of when you hear the word “robot”?

How AI Enhances Robotics: Key Applications

Actually, there are robots like this as well.

How AI Enhances Robotics: Key Applications

And this.

How AI Enhances Robotics: Key Applications

Robots don’t necessarily have to look like humans, but they should be able to automatically perform a series of operations like humans. For example, logistics robots can transport goods by themselves; delivery robots can bring packages upstairs; and vacuum robots can clean by themselves and recharge.

Current Main Application Areas of Robots

Healthcare: Robots in the healthcare industry perform many tasks, such as assisting doctors during surgeries, helping deliver medications, linens, and other essential supplies, and even producing cotton swabs and respirators to aid in pandemic response.

Home Life: Some families use robots for cleaning, while others use them for lawn mowing.

Manufacturing: The manufacturing sector was one of the first to adopt robots, with robots excelling in tasks like arc welding, steel cutting, and food packaging on automotive assembly lines.

Logistics: Logistics companies use robots to stack warehouse shelves, transport goods, and even conduct short-distance deliveries.

Space Exploration: Everyone knows about the Mars rover; it is a robot used by humans to explore the universe.

Military: The famous Boston Dynamics robots are intended for military use, but they are still far from deployment. Currently, reconnaissance robots are commonly used, such as those disguised as small bees for surveillance, or sending a robot to detect and handle situations in dangerous areas.

Entertainment: Robots designed to accompany children or the elderly can sing songs, tell stories, and read books.

How AI Enhances Robotics: Key Applications

Advantages and Disadvantages of Robots

Advantages

  • Robots can work in hazardous environments, such as during rescue operations, thereby preventing human casualties.

  • Cost-effectiveness: Robots do not need sick leave or coffee breaks, nor do they require life insurance, paid vacation, or healthcare services like dental and vision care.

  • They enhance productivity: Robots can endlessly perform repetitive tasks, allowing employees to focus on more challenging tasks or even learn new skills.

  • They provide better quality assurance: Humans performing repetitive tasks can lose focus, leading to accidents, but robots do not.

Disadvantages

  • High startup costs: Implementing robots is a risky investment with high costs. Although most manufacturers will eventually recoup their investment in the long term, the initial costs are high due to the need to purchase robots and establish wireless networks or migrate to the cloud.

  • They may take away jobs: For example, some assembly line jobs have been replaced by robots, potentially causing unemployment for some individuals.

  • Need for technical support staff: Robots require specialized programmers, operators, and maintenance personnel, which can be a deterrent for some small businesses due to the associated labor costs.

How AI Enhances Robotics: Key Applications

What Role Does AI Play in Robotics?

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

Manipulation: Artificial intelligence helps robots acquire the fine motor skills necessary to grasp objects without causing damage.

Motion Control and Navigation: Robots no longer need human guidance to follow paths and processes. AI enables robots to analyze their environment and self-navigate.

Natural Language Processing (NLP) and Real-World Perception: Artificial intelligence and machine learning (ML) help robots better understand their surroundings, recognize nearby objects, and interpret data. These improvements enhance the autonomy of robots and reduce their reliance on humans.

How AI Enhances Robotics: Key Applications

Want to Join the Robotics Revolution?

Are you very interested in robots and hope to improve our lives through robotics? Simplilearn has partnered with IBM and Caltech to launch an AI and Machine Learning Bootcamp, covering essential knowledge and skills related to robotics, such as statistics, Python data science, machine learning, deep learning, NLP, and reinforcement learning. It also includes the latest tools and technologies from the AI ecosystem, with opportunities to participate in hackathons and Ask Me Anything sessions hosted by IBM to learn from industry experts.

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