Explore the wide range of sensors employed in robotics, including proximity sensors, vision sensors, and force/torque sensors. Each sensor type has unique operating principles, strengths, and limitations that define its role in robotic systems.
Discover how combining data from multiple sensors through techniques like Kalman filtering, Bayesian inference, and neural networks enhances the reliability and accuracy of robotic perception systems.
Examine different types of actuators that convert various forms of energy into mechanical motion, including electric motors, pneumatic cylinders, hydraulic actuators, and shape memory alloys, each serving specific applications in robotics.
Learn to evaluate and select appropriate sensors and actuators based on crucial factors such as accuracy, precision, speed, reliability, and cost for specific robotic applications.
