How is Artificial Intelligence applied in robotics?

AI has made substantial progress in recent years, and its integration with robotics has proven to be a natural progression. While AI in robotics is not yet widespread, it’s rapidly gaining momentum as AI systems become more advanced. The combination of AI and robotics holds tremendous potential, leading to increased productivity and efficiency, improved safety and greater flexibility for workers in a variety of professions. One of the key ways in which AI is used in robotics is through machine learning. This technique enables robots to learn and perform specific tasks through observing and mimicking human actions. AI gives robots a computer vision that enables them to navigate, detect and determine their reactions accordingly. This helps them go beyond simply performing repetitive tasks to become true “cognitive collaborators.” Another way that AI is used in robotics is through edge computing. AI applications in robotics require the interpretation of massive amounts of data gathered by robot-based sensors in real time, which is why this data is analyzed close to the machine, rather than being sent off to the cloud for processing. This approach provides machines with real-time awareness, enabling robots to act on decisions at a rate much quicker than human capabilities allow.

AI has made substantial progress in recent years, and its integration with robotics has proven to be a natural progression. While AI in robotics is not yet widespread, it’s rapidly gaining momentum as AI systems become more advanced. The combination of AI and robotics holds tremendous potential, leading to increased productivity and efficiency, improved safety and greater flexibility for workers in a variety of professions.

One of the key ways in which AI is used in robotics is through machine learning. This technique enables robots to learn and perform specific tasks through observing and mimicking human actions. AI gives robots a computer vision that enables them to navigate, detect and determine their reactions accordingly. This helps them go beyond simply performing repetitive tasks to become true “cognitive collaborators.”

Another way that AI is used in robotics is through edge computing. AI applications in robotics require the interpretation of massive amounts of data gathered by robot-based sensors in real time, which is why this data is analyzed close to the machine, rather than being sent off to the cloud for processing. This approach provides machines with real-time awareness, enabling robots to act on decisions at a rate much quicker than human capabilities allow.