About Robotics

What is Robotics?

Robomax is a Robotics & Wireless Automation Training Program. This program will make students aware of recent technology and develop their skills on different technologies. The lab aims to work on research problems and innovative projects that extend the state of the art in robotics. ROBOMAX help students to bridge the gap between the theoretical and practical learning by providing them in depth knowledge of various machines. We invite students to work upon the best and latest technologies in the ever fast changing world and also train students. We believe in extensive full depth training to the students, on the practical projects they want to work upon as per their choice. We helps school in providing smart education. We create Robotic Lab in Schools and provide robotic/electronic components and professional trainers to schools..


Types of Robots

Robots are designed to perform specific tasks and operate in different environments. The following are some common types of robots used across various industries:

  • Autonomous vehicles: These robots are mainly used for transportation purposes and can include self-driving cars, drones and autonomous delivery robots. They navigate and make decisions using advanced sensors and AI algorithms.
  • Automated robots: Autonomous industrial robots have the ability to gain information about their environments, and work for an extended period of time without human intervention. Examples of these robots range from autonomous industrial industrial helicopters to robot vacuum cleaners..
  • Articulated robots: Manufacturing: Articulated robots are widely used in manufacturing industries for tasks such as assembly, welding, painting, packaging, and material handling. These robots can perform these tasks with high precision and speed, resulting in increased productivity and efficiency.
  • Humanoid robots: These robots are programmed to imitate and mimic human movements and actions. They look humanlike and are employed in research, entertainment and human-robot interactions.
  • Cobots: Contrary to the majority of other types of robots, which do their tasks alone or in entirely separated work environments, cobots can share workplaces with human employees, enabling them to work more productively. They're typically used to remove costly, dangerous or time-consuming tasks from routine workflows. Cobots can occasionally recognize and respond to human movement.
  • Hybrids robots: Hybrid robots are model-driven or insect-driven robots, or artificially driven insects. Hybrid robots can be used for both model evaluations and biological experiments. Hybrid robots extend the role of robots in neuroethology.
  • Industrial robots: Frequently used in manufacturing and warehouse settings, these large programmable robots are transforming the supply chain by performing tasks such as welding, painting, assembling and material handling.
  • Service robots: These robots are used in a variety of fields in different scenarios, such as domestic chores, hospitality, retail and healthcare. Examples include cleaning robots, entertainment robots and personal assistance robots.
  • Medical robots: These robots help with surgical procedures, rehabilitation and diagnostics in healthcare settings. Robotic surgery systems, exoskeletons and artificial limbs are a few examples of medical robots..
  • Agricultural robots: These robots are used in farming and agricultural applications. They can plant, harvest, apply pesticides and check crop health.
  • Educational robots: These robots are created to instruct and educate kids about robotics, programming and problem-solving. Kits and platforms for hands-on learning in academia are frequent examples of educational robots.
  • Entertainment robots: Created for entertainment purposes, these robots come in the form of robotic pets, humanoid companions and interactive toys.
  • Defense and military robots: These robots aid military tasks and operations including surveillance, bomb disposal and search-and-rescue missions. They're specifically designed to operate in unknown terrains.

Robotics applications

Today, industrial robots, as well as many other types of robots, are used to perform repetitive tasks. They can take the form of a robotic arm, a collaborative robot (cobot), a robotic exoskeleton or traditional humanoid robots. Industrial robots and robot arms are used by manufacturers and warehouses, such as those owned by Amazon and Best Buy. To function, a combination of computer programming and algorithms, a remotely controlled manipulator, actuators, control systems -- action, processing and perception -- real-time sensors and an element of automation help to inform what a robot or robotic system does.

  • Household: They perform a variety of tasks, such as cleaning, laundry, and providing care for elderly or disabled people. One example of a domestic robot is the Roomba vacuum cleaner robot. It is a small, autonomous cleaning robot that can be programmed to clean floors, carpets, and rugs.
  • Education: Educational robots can serve various purposes in enhancing learning experiences. They can promote active engagement, problem-solving, and collaboration among students as active learning tools. By introducing robotics in the classroom, children can develop their critical thinking and creativity skills.
  • Healthcare: Advancements in robotics could enable robots to perform lab tests without human intervention, remove plaque from arteries, take tissue biopsies, and attack cancerous tumors. In the future, robots could also deliver targeted medication, provide patient care for minor issues, and speak to patients about their symptoms.
  • Transportation: Robotics applications such as stacker cranes, AMRs, picking arms and conveyors expedite the flow of goods in logistics facilities, streamlining storage tasks and maximising operational efficiency and safety
  • Industrial Work: Material handling robots are utilized to move, pack and select products. They also can automate functions involved in the transferring of parts from one piece of equipment to another. Direct labor costs are reduced and much of the tedious and hazardous activities traditionally performed by human labor are eliminated.
  • Security And Defences: The majority of military robots are tele-operated and not equipped with weapons; they are used for reconnaissance, surveillance, sniper detection, neutralizing explosive devices, etc. Current robots that are equipped with weapons are tele-operated so they are not capable of taking lives autonomously.
Machine Learning

Machine learning in robotics

Machine learning and robotics intersect in a field known as robot learning. Robot learning is the study of techniques that enable a robot to acquire new knowledge or skills through ML algorithms. To learn, intelligent robots must accumulate facts through human input or sensors. Then, the robot's processing unit compares the newly acquired data with previously stored information to predict the best course of action based on the data it has acquired. However, it's important to understand that a robot can only solve problems that it's built to solve. It doesn't have general analytical abilities.

Computer vision: Robots can perceive, identify and navigate their environments with the help of machine vision, which uses ML algorithms and sensors. Computer vision is used in a wide range of settings, including manufacturing procedures, such as material inspection and pattern and signature recognition.

Self-supervised learning: By using large sets of data, robots can be taught to perform tasks without being specifically trained to do so, such as in neural networks. Self-supervised learning can be used to increase the ability of robots to adapt to changing environments.

Imitation learning: This entails educating robots to replicate human behavior by demonstrating desirable actions to them. This can be used to improve the speed and accuracy of automated procedures.

Assistive robotics: Machine learning can be used to create robotic devices that help people with daily tasks such as mobility and household duties. For example, wheelchair-mounted robot arms can offer greater independence to people with limited mobility in their upper extremities.

Reinforcement learning: This entails teaching robots how to carry out challenging tasks through the use of trial-and-error techniques to make robotic systems more effective and efficient.