Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
How does artificial intelligence (AI) contribute to robotics, and what are some AI techniques used in robot control?
Let's start by understanding what Artificial Intelligence means, and what Robotics means. To understand clearly, you can assume Artificial Intelligence as the brain of a human, and Robotics can be assumed as the physical human body. So, the physical body parts work according to the instructions giveRead more
Let’s start by understanding what Artificial Intelligence means, and what Robotics means. To understand clearly, you can assume Artificial Intelligence as the brain of a human, and Robotics can be assumed as the physical human body. So, the physical body parts work according to the instructions given to them by the brain. Similarly, AI integrated with Robots lets robots perform tasks intelligently according to the situation.
AI includes machine learning, deep learning, and neural networks which help the machines to make decisions, recommend suggestions, and perform tasks cognitively like human beings. Robots are made for some particular tasks that require human interaction which gives them instructions on what task needs to be performed, whereas if AI is implemented in Robots then there will be no requirement for human intervention. Previously, we used to have machines that used to perform some tasks based on the instructions given by a human, but now due to the advancements in technology, there is no need for a human to be involved.
The following are some of the AI techniques along with the applications used in robot control,
- Machine Learning for Predictive Maintenance
- Computer Vision in Quality Inspection and Defect Detection
- NLP in Human-Robot Interaction
See lessany good career option in robotics?
Robotics offers a range of promising career options due to its growing importance in various industries. For example, Robotics Engineer: These professionals design, build, and maintain robotic systems. They may specialize in mechanical design, electrical engineering, or software development. Their wRead more
Robotics offers a range of promising career options due to its growing importance in various industries. For example,
Robotics Engineer:
These professionals design, build, and maintain robotic systems. They may specialize in mechanical design, electrical engineering, or software development. Their work is crucial in developing robots for diverse applications, from manufacturing to healthcare.
Mechatronics Engineer:
Combine principles of mechanical, electrical, and computer engineering to design and build intelligent systems and robotic devices. They work on integrating mechanical systems with electronics and computer control systems.
Robotics Consultant:
Advise businesses on how to integrate robotics into their operations. They assess company needs, recommend solutions, and help implement robotic systems to improve efficiency and productivity.
Robotics Software Developer:
Focus on creating software applications and control systems for robots. They develop the code that allows robots to perform tasks, interact with their environment, and integrate with other systems.
Entrepreneur in Robotics:
Start your own business focused on developing innovative robotic solutions. Entrepreneurs in this field create new products, launch startups, and bring cutting-edge robotics technologies to market.
See lessWhat is the Turing Test, and who devised it?
The Turing Test is a concept proposed by British mathematician and computer scientist Alan Turing in 1950. It is designed to assess a machine's ability to exhibit intelligent behavior indistinguishable from that of a human. In his seminal paper, "Computing Machinery and Intelligence," Turing put forRead more
The Turing Test is a concept proposed by British mathematician and computer scientist Alan Turing in 1950. It is designed to assess a machine’s ability to exhibit intelligent behavior indistinguishable from that of a human. In his seminal paper, “Computing Machinery and Intelligence,” Turing put forward that a machine could be deemed intelligent if it could engage in a conversation with a human without the human realizing they were interacting with a machine.
The test involves a human evaluator who interacts with both a machine and a human through a text-based interface, without knowing which is which. The evaluator’s task is to determine which participant is the machine and which is the human based solely on the responses to questions posed. If the evaluator cannot reliably tell the difference between the machine and the human, the machine is said to have passed the Turing Test.
Turing’s idea was groundbreaking, as it shifted the focus from defining intelligence to evaluating observable behavior. Although the Turing Test has been a subject of much debate and criticism, it remains a foundational concept in the field of artificial intelligence, symbolizing the quest to create machines that can mimic human thought processes and interactions.
See lessSecurity and Hacking Risks
Protecting AI surveillance systems from hacking and other cybersecurity threats involves implementing a combination of technical, organizational, and procedural measures. The following are some of the measures to be implemented to ensure protection, Use multi-factor authentication (MFA) to ensure thRead more
Protecting AI surveillance systems from hacking and other cybersecurity threats involves implementing a combination of technical, organizational, and procedural measures.
The following are some of the measures to be implemented to ensure protection,
Hence, by combining these strategies, organizations can create a multi-layered defense system that enhances the security and resilience of AI surveillance systems against hacking and other cybersecurity threats.
See less