Robots Programming

overview: problems and progress, interpreting uncertain sensor data, localizing and mapping, navigation and control, motion planning

NB! This course will take place in autumn semester 2025/2026 which starts on 1st of September and ends on 25th of January (you can find that information under Start date section). TalTech's timetables for Autumn semester 2025 will be published at the end of June via tunniplaan.taltech.ee. Switch the page to English and use "Search" and "Open detailed search" to find your course. NB! Some courses are taught by several lecturers during the same semester. Make sure that the course name and lecturer/teacher infromation of your course match with the information given in the Course Catalogue.

After completing this course, the student is able to:

• integrate sensors, actuators, and software into a robot designed to undertake some task;
• program a robot to accomplish simple tasks using deliberative, reactive, and/or hybrid control architectures;
• implement fundamental motion planning algorithms for mobile differential drive robots,
• characterize the uncertainties associated with common robot sensors and actuators; articulate strategies for mitigating these uncertainties;
• understand the difficulties developing software for robots (i.e., real world applications);
• comprehend the interdisciplinary nature of robotics and how other fields of science relate to robotics;
• gain teamwork experience by working in a team.

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

Completion of "Introduction to Programming" or an equivalent course, with a solid understanding of Python programming fundamentals, including object-oriented programming concepts. Students should be able to apply basic data structures, solve computational problems, debug source code, write unit tests, and produce clean, well-documented source code. A general understanding of how to translate algorithm descriptions into source code is expected. Familiarity with coding standards is also required. The course will be offered only if there is sufficient enrollment.

• Kursuse e-tugi https://moodle.taltech.ee/course/view.php?id=32593
• Kursuse koduleht <a href="https://courses.cs.ttu.ee/pages/ITI0201" target="_blank">https://courses.cs.ttu.ee/pages/ITI0201</a>Mordechai Ben-Ari and Francesco Mondada. Elements of Robotics. 2018John M. Zelle. Python Programming: An Introduction to Computer Science. 2010Steven M. LaValle. Planning Algorithms. 2006

lectures, practices