Tantárgy adatlapja
The course
covers the following topics: 1. Introduction – sensors.
Motivation and parallelism with biology; sensing categories, propriocepction,
exteroception, exproprioception;
reviewing the history of robotic sensors from the 70s, sensor
revolution, state-of-the-art robotics, challenges and future of the sensors; 2. Human sensing and sensors
in biology. Mechano-, termo-, and nociceptors; fast-slow adatptation; touch;
pain; balancing; vision; visual-tactile-motori mechanisms; hearing; smell and
taste; sensing the inner state; special sensors in biology: localisation (eg.
birds, and salmon), distance measurement (eg. owl, bat, whale); 3. Behaviour
based robotics, introducing behaviour methods in robotics, deliberative and
reactive systems, description and coding of behaviours, behaviour design and
coordination , design decisions; 4. Behaviour
coordiantion, emergence, fusion and synchronization methods of behaviours; 5. Sensor characteristics;
basic principles through examples; sensitivity; accuracy; dynamic range;
hysteresis; nonlinearity; resolution; environmental factors; special
properties; transfer function; approximations; interpolation; calibration; 6. Sensors, general
properties: distance measurement sensors, sensors for localization and
navigation, inpact, touch, pressure and force measurement, temperature and
measuring internal state; 7. Sensor
arrays and sensor networks, visual perception – machine vision, depth cameras,
motion tracking systems; 8. Sensorfusion, connection of human and machine sensing;
span>9. Sensors of a mobile robot,
sensors of a humanoid robot, remotely controlled robotics; 10.
The sensors and measurement methods of Curiosity rover on Mars.
