1. Definition:
-
Human-Made Robotics: This refers to robots that are designed, built, and programmed by humans to perform specific tasks. These robots typically follow pre-defined instructions or rules set by their creators. Their actions are limited by the capabilities programmed into them and do not evolve beyond what has been explicitly coded.
-
AI Robotics: AI robotics, on the other hand, refers to robots that integrate artificial intelligence to make decisions, learn from their environment, and adapt to new situations. Unlike human-made robotics, AI robots can "think" or "reason" based on the data they receive, allowing them to improve their performance over time.
2. Control:
-
Human-Made Robotics: These robots rely on specific algorithms and programming that control their behavior. They follow instructions given by their programmers with little to no flexibility in adapting to unexpected situations.
-
AI Robotics: AI robots leverage machine learning algorithms and other forms of AI, enabling them to process and understand data in real-time, make autonomous decisions, and adjust their behavior based on changing circumstances. They can improve through experience without requiring human input for every action.
3. Learning Capability:
-
Human-Made Robotics: These robots do not learn or adapt on their own. If a change or update is needed, it must be programmed directly by humans.
-
AI Robotics: AI robots can learn from experience using techniques such as reinforcement learning or deep learning. This means they can handle new tasks, solve problems, and make decisions that they weren't specifically programmed for by analyzing data and patterns from their environment.
4. Task Execution:
-
Human-Made Robotics: Generally, these robots are used for repetitive, predetermined tasks where little to no variation is required. Examples include industrial robots on assembly lines or simple automation systems.
-
AI Robotics: AI robots are more suited for complex, dynamic tasks where flexibility, decision-making, and adaptation are crucial. These robots can be used in fields such as healthcare, autonomous driving, and service industries, where their ability to learn and adapt is a significant advantage.
5. Examples:
-
Human-Made Robotics: Robotic arms in factories, conveyor belt systems, or basic service robots like vacuum cleaners that follow a fixed pattern.
-
AI Robotics: Autonomous vehicles (self-driving cars), robots with advanced navigation and decision-making systems (e.g., robotic assistants in hospitals), or personal assistants like humanoid robots equipped with AI for interactive tasks.
6. Flexibility:
-
Human-Made Robotics: These robots have a limited scope of tasks and are designed to perform specific operations with high efficiency but no flexibility.
-
AI Robotics: AI robots are highly adaptable and capable of performing a variety of tasks. They can be reprogrammed or even self-reprogram to handle new challenges as they emerge, increasing their utility across different applications.
