innovations

Cards (24)

  • Innovation has been a driving force throughout
    human history, shaping societies, economies, and
    cultures.
  • Agricultural Revolution
    (10,000 BCE)
    • The transition from hunter-gatherer societies to
    settled agricultural communities marked a
    significant innovation. This shift allowed humans
    to produce surplus food, enabling population
    growth and the development of civilizations.
  • Industrial Revolution
    (18th-19th centuries)
    The Industrial Revolution brought about
    mechanization, the use of steam power, and the
    rise of factories. This era saw innovations in
    manufacturing, transportation, and
    communication, transforming economies and
    societies.
  • Technological Revolution
    (20th century)
    • The 20th century witnessed rapid advancements
    in technology, including the development of
    electricity, telecommunications, and computing.
    Innovations like the internet and the digital
    revolution further transformed the way people live
    and work.
  • Information Age
    (late 20th century)
    • The rise of the internet and information
    technology revolutionized communication, access
    to information, and the way businesses operate.
    This period laid the foundation for the knowledge-
    based economy.
  • Fourth Industrial Revolution
    (21st century)
    • Characterized by the fusion of physical, digital,
    and biological technologies, the Fourth Industrial
    Revolution encompasses innovations like artificial
    intelligence, robotics, and biotechnology. This
    ongoing revolution is reshaping industries and
    challenging traditional concepts of work and
    society.
  • Robotics is an interdisciplinary
    field that involves the design,
    construction, operation, and use
    of robots.
  • Robots are programmable
    machines that can perform tasks
    autonomously or with human
    guidance.
  • Industrial Robots
    Used in manufacturing processes for tasks like
    welding, assembly, and packaging.
  • Service Robots
    Designed to assist humans in various roles, including healthcare, agriculture, and customer service.
  • Educational Robots Developed for learning purposes, teaching programming and problem-solving skills.
  • Basics of Robot Programming - Involves creating
    sequences of commands to instruct robots on how
    to perform tasks.
  • Computer Controls - Robots are controlled through
    computer systems that interpret and execute
    programmed instructions
  • Mechanical Design in robotics involves creating the physical structure of the robot, including its frame, actuators (motors or other devices for movement), sensors, and any other necessary components.
  • Electrical Engineering in robotics focuses on the design and implementation of the electrical systems within the robot, including power distribution, control systems, and electronic components.
  • Mechanical Design in robotics involves creating the physical structure of the robot, including its frame, actuators (motors or other devices for movement), sensors, and any other necessary components.
  • Electrical Engineering in robotics focuses on the design and implementation of the electrical systems within the robot, including power distribution, control systems, and electronic components.
  • Computer Science and Software Development in robotics are crucial for programming the robot to perform specific tasks and using software to control the robot's movements, interpret sensor data, and make decisions based on its programming.
  • Sensors and Perception in robotics often use sensors such as cameras, lidar, radar, and other types of detectors to gather information about their environment.
  • Perception algorithms in robotics process the data from sensors to make decisions and navigate.
  • Control Systems in robotics manage the robot's behavior and ensure that it operates as intended.
  • Control theory is often applied to create stable and responsive systems in robotics.
  • Artificial Intelligence (AI) techniques, including machine learning, are increasingly being incorporated into robotics to enable robots to learn from experience, adapt to changing conditions, and improve their performance over time.
  • The goal of robotics is often to create autonomous systems that can perform tasks without constant human intervention, which requires advanced algorithms and robust sensorimotor capabilities.