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Foundations of Robotics

Class at Faculty of Mathematics and Physics |
NAIL126

Syllabus

1. Introduction, history of robotics, basic terms 2.

Kinematics and dynamics 2.1. Degrees of freedom, kinematic chain 2.2.

Motion and transformation (translation, rotation, spherical motion) 3. Mechanics and mechatronics, sensors, actuators, low-level control 3.1.

Motion methods, vehicle models 3.2. Sensor systems 3.3.

Drive systems, movement and speed control 3.4. Single-chip systems, MCU, SoC 4.

Software and algorithms for robot control 4.1. Software architectures, methods for implementation 4.2.

Cognitive robotics, artificial intelligence 4.3. Localization and mapping (Kalman filter, Monte Carlo methods, probabilistic methods) 4.4.

Planning, navigation 4.5. Advanced sensors, image processing 4.6.

Multirobot systems

Annotation

This introductory course overviews key topics in robotics: kinematic and dynamic model, basic components

(hardware, sensors and actuators, software), control systems, introduction to localization, mapping, planning.