AUTONOMOUSROBOTS

A picture containing large, sitting, white, numbers.

INTRODUCTION. [image]. ISHWAR LAL SINGH. [image].

What is industry 4.0. which refers to the fourth industrial revolution, is the cyber-physical transformation of manufacturing. a government initiative to promote connected manufacturing and a digital convergence between industry, businesses and other processes. The fourth industrial revolution might best be described as an extension of the third industrial revolution. In Industry 3.0 introduced computers into the manufacturing process, Industry 4.0 focuses on connecting those computers to one another. However, Industry 4.0 goes far beyond systems on the factory floor being able to communicate with one another. When fully applied, Industry 4.0 allows for the creation of smart factories and enables digital manufacturing. Industry 4.0 are applied to all levels of the manufacturing process from product development to product end of life. Additionally, some manufacturers apply Industry 4.0 concepts to external resources such as supply chains, thereby enabling them to better anticipate supply disruptions, while also making it easier to source all of the materials used in the manufacturing of a product..

Benefits and challenges faced in industry 4.0. BENEFITS CHALLENGES enable OEMs to see how customers really used a product versus how it was expected it to be used. cost and interoperability. sensor data can help an organization to monitor the manufacturing process in real time. Cyber security its principles can help organizations avoid an outage on the factory floor. Experience it allows big data analytics to be performed on the data that is associated with the manufacturing process..

What are Autonomous Robots?. Robots that are designed and engineered to deal with its environment on its own, and work for extended periods of time without human intervention. They are mostly used to do tasks that are too dangerous for humans to do and also to do these tasks more efficiently. This can help reduce the risk for the industry as they can reduce the number casualties when working in the industry. In the recent years, there has been a rise of collaborative robots also known as (cobots). This marks a shift towards robots that are designed to operate alongside humans safely. Using force-limited joints and computer vision, cobots can interact directly with humans. But, being smaller and lighter, they are trained to complete specific tasks, freeing up human workers to focus on other jobs..

FIELDS TAKEN OVER BY AUTONOMOUS ROBOTS HEALTH CARE INDUSTRY 4.0 AGRICULTURE TRANSPORTATION SPACE EXPLORATION EDUCATION & RESEARCH.

AUTONOMOUS ROBOTS IN HEALTH CARE. Two types of autonomous robots used are: Surgical robots Assistive robots.

AUTONOMOUS ROBOTS IN AGRICULTURE. EXAMPLE: Automated farming, weeding robots Seeding Drones/ Flying Drones Automated farming, weeding robots - these robots are design to enhance productivity, uses resources more efficiently, and lower food production costs. This is done by typically involving a camera or multiple cameras feeding information to the robot that allows it to locate and access the crops around it. The robots that help in these tasks are developed by NAIO, SwagBot which is used to graze livestock and RIPPA which helps improve yield production. Seeding Drones and Flying Drones - These robots are able to allow farmers to sow their seeds quicker and more uniformly. Planting seeds is a critical factor in producing the perfect harvest. For this reason, it's imperative to consider using a crop seeding drone to distribute seeds across the field. These robots also help by allowing the farmers not to keep track of their crops only but also monitor the movements of their cattle. Thermal sensor technology helps find lost animals and detect an injury or sickness. Drones can carry out this function favorably, and this adds comprehensively to the production of vegetation..

AUTONOMOUS ROBOTS IN INDUSTRY 4.0 EXAMPLE robotic arms mobile trolleys Robotic Arms - these robots are used in the industry to imitate and improve the capabilities of humans during production procedures, as they are designed to act automatically, and perform large volumes of repetitive and mechanical task with high precision and in a constant manner. - these robots also help in carrying heavy materials which are impossible to transport via human interaction, as these types of task can lead to the increase of casualties. Mobile trolleys - these robots although small but they play an important role in the shipping and manufacturing process. These robots help in transporting heavy loads of material and products to the trucks and shipping containers. By completing this tasks they are able to save time and resources while also increasing their companies efficiency and image..

AUTONOMOUS ROBOT IN TRANSPORTATION 1. Self Driving Car A self-driving car, also known as an autonomous car or driverless car, is a vehicle capable of navigating and operating without human intervention. These cars use a combination of advanced sensors, cameras, radar, lidar, and artificial intelligence (AI) algorithms to perceive their environment, make decisions, and control the vehicle's movements. Key components and technologies involved in self-driving cars include: Sensors: Self-driving cars are equipped with a variety of sensors to gather information about their surroundings. These sensors may include cameras, radar, lidar (light detection and ranging), ultrasonic sensors, and more. Data Processing: The collected sensor data is processed in real-time by onboard computer systems. Advanced algorithms analyze the data to recognize objects, detect obstacles, interpret road signs, and make decisions based on the current driving conditions. Control Systems: The autonomous vehicle's control systems, including the steering, acceleration, and braking, are managed by the onboard computer based on the decisions made through data analysis and AI algorithms..

2. Delivery Robot A delivery robot is a specialized robot designed to transport goods and packages from one location to another autonomously. These robots are employed in last-mile delivery, covering the final leg of a product's journey from a distribution center or store to its destination, which is often a customer's doorstep. Delivery robots are part of the broader trend of using automation and robotics to improve the efficiency and convenience of delivery services. Key features and characteristics of delivery robots include: Autonomous Navigation: Delivery robots are equipped with sensors, cameras, lidar, and other technologies to perceive their environment. They use these sensors to navigate sidewalks, cross streets, and avoid obstacles, pedestrians, and other potential hazards. Payload Capacity: Delivery robots have a designated payload capacity to carry packages. The size and weight capacity depend on the robot's design and intended use. Communication Systems: Many delivery robots have communication systems to interact with their surroundings and people. This may include signals to indicate their intentions, such as stopping or crossing the street..

AUTONOMOUS ROBOT IN SPACE EXPLORATION 1.Rovers: Surface Exploration Rovers: These are wheeled or tracked vehicles designed to explore the surface of planets and moons. Examples include the Mars rovers, such as Spirit, Opportunity, Curiosity, and Perseverance. Asteroid and Comet Rovers: Specialized rovers designed for the exploration of asteroids and comets, like the MINERVA rovers on the Hayabusa2 mission to Ryugu. 2.Landers: Autonomous Landers: These are robotic spacecraft that are designed to land on the surface of celestial bodies. They may deploy stationary science instruments or rovers upon landing..

AUTONOMOUS ROBOT IN EDUCATION & RESEARCH EXAMPLES: 1. RESEARCH DRONES 2. HUMANOID ROBOT Research Drones: Unmanned Aerial Vehicles (UAVs) or drones are used in research for data collection and monitoring. They are employed in environmental research, agriculture, and geographical studies. Humanoid Robots: Humanoid robots mimic human form and movement, facilitating research in human-robot interaction. Used in educational settings to teach programming, AI, and robotics. Examples include NAO and Pepper robots..