Autonomous Robotic Systems
Enhanced Course Description
This course explores autonomous and mobile robots, focusing on locomotion, control, perception, and navigation.
Locomotion & Kinematics: Covers degrees of mobility, non-holonomic constraints, and wheeled robot dynamics.
Control & Planning: Examines trajectory generation, navigation algorithms, and control architecture such as subsumption, potential fields, and reinforcement learning.
Perception & Mapping: Introduces sensor models, SLAM, relative and absolute localization, and knowledge representation.
Multi-Robot Systems: Focuses on cooperation, coordination, and autonomy in robotic fleets.
Students gain practical expertise in designing, programming, and controlling autonomous robotic systems.
G2: Critically evaluate robotic systems in comparison with state-of-the-art robotic research.
G3: Perform Multiphysics modeling and simulation for Mechatronics, Robotics, Control, and Embedded systems.
G4: Develop, test, and integrate robotics hardware and software into fully functional systems.