Robotics §

Group: 3 #group-3

Relations §

• Cybernetics: Robotics applies cybernetic principles to the design and control of autonomous machines or robots.
• Autonomous Systems: Robotics is a key application area for autonomous systems, enabling robots to operate without human intervention.
• Kinematics: Kinematics is the study of motion and is crucial for robot motion planning and control.
• Robot Programming: Programming is essential for instructing robots to perform specific tasks.
• Sensors: Sensors are used in robotics for perception, navigation, and control.
• Service Robots: Service robots are designed to assist humans in various tasks, such as healthcare, education, and household chores.
• Desiring-Machines: Robotics is the field of designing and building robots, which could potentially include Desiring-Machines or artificial intelligence systems with desires or goals.
• Computer Science: Robotics draws heavily from computer science principles and techniques.
• Smart Manufacturing: Robotics and automation play a crucial role in smart manufacturing processes.
• Cyber-Physical Systems: Robotics is a key application area of Cyber-Physical Systems, where physical robots are controlled by computational systems.
• Dynamics: Dynamics is the study of forces and their effects on motion, which is important for robot design and control.
• Actuators: Actuators are the components that enable robots to move and interact with their environment.
• Robotics Ethics: Robotics ethics addresses the ethical implications and considerations surrounding the development and deployment of robotic systems.
• Mechatronics: Robotics combines mechanics, electronics, and computing, which is the essence of mechatronics.
• Artificial Intelligence: Robotics relies heavily on AI techniques for perception, decision-making, and control.
• Emerging Technologies: Robotics involves the design, construction, and operation of robots for various applications.
• Gesture Recognition: Gesture recognition can be used to control and interact with robots in a natural and intuitive way.
• Humanoid Robots: Humanoid robots are designed to mimic human form and behavior.
• Artificial Intelligence (AI): Robotics involves the design, construction, and operation of robots, which often incorporate AI techniques for perception, decision-making, and control.
• Military Technology: Robotics has applications in areas such as unmanned systems, explosive ordnance disposal, and logistics.
• Artificial Intelligence: Robotics involves the design, construction, and operation of robots, often incorporating AI techniques for perception, decision-making, and control.
• Human-Robot Interaction: HRI is a subfield of robotics focused on the interaction between humans and robots.
• Bionics: Robotics and bionics share principles of mechatronics, control systems, and human-machine interaction.
• Automation: Robotics is a key enabler of automation in various industries.
• Desiring-Machines: Desiring-machines can be embodied in physical robots with the ability to take actions to achieve their goals.
• Narrow AI: Narrow AI is often used in robotics to enable robots to perform specific tasks, such as navigation, object manipulation, or assembly.
• Control Systems: Control systems are essential for coordinating the motion and behavior of robots.
• Control Systems: Control systems are essential for the precise control of robotic systems.
• Computer Vision: Computer Vision is essential for robots to perceive and understand their environment, enabling tasks like navigation and object manipulation.
• Human-Robot Interaction: Human-robot interaction focuses on the design and development of interfaces and systems that enable effective collaboration between humans and robots.
• Robotic Manipulation: Robotic manipulation involves the ability of robots to grasp, move, and manipulate objects.
• Industrial Robots: Industrial robots are widely used in manufacturing and production processes.
• Cognitive Computing: Cognitive computing can be applied to robotics to enable intelligent and adaptive behavior in robots.
• Cybernetic Modeling: Cybernetic modeling principles are applied in robotics to develop autonomous and adaptive robotic systems.
• Robot Vision: Robot vision involves the ability of robots to perceive and interpret visual information.
• Technological Autonomy: Robotics is a field that aims to create autonomous machines capable of performing tasks without human control.
• Robot Learning: Robot learning involves the ability of robots to adapt and improve their performance through experience.
• Adaptive Control: Adaptive control is widely used in robotics to handle uncertainties and changing environments.
• Sensors: Robots rely on various sensors to perceive their environment.
• Robot Navigation: Robot navigation involves the ability of robots to plan and execute paths in their environment.
• Improper Rotation: Improper rotations are essential in robotics for describing the motion and configuration of robotic manipulators and mobile robots.