Exclusive Content:

Haiper steps out of stealth mode, secures $13.8 million seed funding for video-generative AI

Haiper Emerges from Stealth Mode with $13.8 Million Seed...

VOXI UK Launches First AI Chatbot to Support Customers

VOXI Launches AI Chatbot to Revolutionize Customer Services in...

“Revealing Weak Infosec Practices that Open the Door for Cyber Criminals in Your Organization” • The Register

Warning: Stolen ChatGPT Credentials a Hot Commodity on the...

Robotics – Artificial Intelligence

Exploring Robotics: Understanding the World of Intelligent Machines

Robotics is a fascinating domain in artificial intelligence that focuses on creating intelligent and efficient robots. These robots are artificial agents that act in the real world environment, manipulating objects by perceiving, picking, moving, modifying physical properties, and even destroying objects. The main objective of robotics is to free up manpower from repetitive tasks without getting bored, distracted, or exhausted.

So, what exactly are robots? They are machines designed to carry out specific tasks in the physical world. This branch of AI combines electrical engineering, mechanical engineering, and computer science to design, construct, and apply robots in various fields.

There are several aspects to robotics, including mechanical construction, electrical components for power and control, and a computer program that determines how the robot functions. The main difference between a robot system and other AI programs is that robots operate in the real physical world, using analog signals as inputs, and require special hardware with sensors and effectors.

One of the key elements of robotics is robot locomotion, which refers to the mechanism that enables a robot to move in its environment. There are various types of locomotion, including legged, wheeled, a combination of legged and wheeled, and slip/skid. Each type of locomotion has its own advantages and challenges, such as power consumption, stability, and complexity.

Legged locomotion, for example, consumes more power and requires more motors for movement. It is suited for rough and smooth terrain but can be difficult to implement due to stability issues. Wheeled locomotion, on the other hand, requires fewer motors and is more power-efficient. There are different types of wheels, such as standard, castor, Swedish 45o, and ball wheels, each offering different advantages in terms of movement.

In terms of robot components, robots are built with a power supply (batteries, solar power, hydraulic, or pneumatic), actuators (convert energy into movement), electric motors (AC/DC), pneumatic air muscles, muscle wires, and sensors for real-time information on the task environment.

Overall, robotics is a dynamic field that continues to evolve with advancements in technology. From designing and constructing robots to implementing them in various industries, robotics plays a crucial role in creating intelligent and efficient machines that can perform a wide range of tasks.

Latest

Comprehending the Receptive Field of Deep Convolutional Networks

Exploring the Receptive Field of Deep Convolutional Networks: From...

Using Amazon Bedrock, Planview Creates a Scalable AI Assistant for Portfolio and Project Management

Revolutionizing Project Management with AI: Planview's Multi-Agent Architecture on...

Boost your Large-Scale Machine Learning Models with RAG on AWS Glue powered by Apache Spark

Building a Scalable Retrieval Augmented Generation (RAG) Data Pipeline...

YOLOv11: Advancing Real-Time Object Detection to the Next Level

Unveiling YOLOv11: The Next Frontier in Real-Time Object Detection The...

Don't miss

Haiper steps out of stealth mode, secures $13.8 million seed funding for video-generative AI

Haiper Emerges from Stealth Mode with $13.8 Million Seed...

VOXI UK Launches First AI Chatbot to Support Customers

VOXI Launches AI Chatbot to Revolutionize Customer Services in...

Microsoft launches new AI tool to assist finance teams with generative tasks

Microsoft Launches AI Copilot for Finance Teams in Microsoft...

Investing in digital infrastructure key to realizing generative AI’s potential for driving economic growth | articles

Challenges Hindering the Widescale Deployment of Generative AI: Legal,...

Comprehending the Receptive Field of Deep Convolutional Networks

Exploring the Receptive Field of Deep Convolutional Networks: From Human Vision to Deep Learning Architectures In this article, we delved into the concept of receptive...

Boost your Large-Scale Machine Learning Models with RAG on AWS Glue...

Building a Scalable Retrieval Augmented Generation (RAG) Data Pipeline on LangChain with AWS Glue and Amazon OpenSearch Serverless Large language models (LLMs) are revolutionizing the...

Utilizing Python Debugger and the Logging Module for Debugging in Machine...

Debugging, Logging, and Schema Validation in Deep Learning: A Comprehensive Guide Have you ever found yourself stuck on an error for way too long? It...