Advanced Robotics

Advanced robot models and coordinate transforms based on Denavit-Hartenberg (DH) convention. Electrical, hydraulic and pneumatic actuators and tools. Control and sensing systems including VR, AR and MR, model-based control, visual servoing, sensor fusion and soft sensors. Software for autonomous robots and cobots used in human-centred and distributed robotics. Artificial intelligence in robotics, including fuzzy logic and neural networks, machine learning with deep reinforcement learning. Mobile robotics and multiple robotics applications, including navigation and pathfinding tools, UAS, UGV and UUV systems. Safety and social aspects, regulations and standards of robotics.

NB! This course will take place in spring semester 2024/2025 which starts on 3rd of February and ends on 16th of June (you can find that information under Start date section). The real course start and end dates will be announced at the beginning of February at the latest.

After completing this course, the student:

• differentiates between contemporary robotics, respective hardware and toolkits used to manage robotic stations;
• differentiates between and utilizes robot control systems and respective sensors for solving real industrial and everyday problems;
• develops smart and self-learning algorithms to control autonomous robots and cobots;
• demonstrates integration of advanced robots into production processes and orientation in robotics future trends.

Final assessment can consist of one test/assignment or several smaller assignments completed during the whole course. After declaring a course the student can re-sit the exam/assessment once. Assessment can be graded or non-graded. For specific information about the assessment process please get in touch with the contact person of this course. For specific information about grade transfer please contact your home university

Basic knowledge in Mechanics, Electricity and IT.

NB! This is a blended course which means that a part of this course takes place physically at TalTech (around 12-16 May 2025). Further information and specific agreements will be made at the beginning of the course.

• Study literature.

lectures, practices, exercises