Advanced robots using AI and ML

Artificial intelligence (AI) and machine learning (ML) have had a significant impact on the field of robotics, enabling robots to perform complex tasks, adapt to changing environments, and interact with humans more effectively. AI involves the development of algorithms that can perform tasks that typically require human intelligence, such as learning, problem-solving, and decision making. Machine learning is a subset of AI that involves the use of algorithms and statistical models to enable computers to learn from data and improve their performance on specific tasks over time.In robotics, AI and machine learning are used to improve the performance and capabilities of robots. For example, computer vision algorithms can be used to enable robots to recognize objects and navigate in complex environments, while natural language processing techniques can be used to enable robots to communicate with humans more effectively. Furthermore, machine learning techniques can be used to enable robots to learn from their interactions with the environment and adapt to new situations.

Autorentext

Dr. Ashok J currently serves as an Associate Professor at the Department of Electronics and Communication Engineering at V.S.B. Engineering College in Karur, India. He has previously held academic positions at various institutions, including serving as an Associate Professor at the College of Engineering & Technology in Mai Nefhi, State of Eritrea.