Admission requirements
Not applicable.
Description
During the last decade we have seen an "explosion" of all kinds of robots designed for tasks that previously were deemed too challenging for machines. Robots have evolved from robotic arms and karts that could execute repetitive or simple tasks such as painting, welding and vacuum cleaning to autonomous cars, drones and humanoid helpers and servants that execute their tasks in much less controlled and even natural settings. For this modern robots require sophisticated adaptive capabilities.
During the course we will have a thorough look at the important aspects of robot-architectures used in modern and state of the art robots. The use of various actuators and sensors will be studied. Algorithms for low level tasks such as movement, dead reckoning, obstacle-detection, and balancing will be presented. Intermediate level tasks such as mapping, obstacle recognition and avoidance, and more advanced modes of reckoning, navigation and object manipulation will be studied. Finally, high level tasks such as human-robot-interaction and adaptive behavior in natural environments will be studied and proto-typed using state of the art sensor analysis, computer vision and audio recognition techniques.
Course objectives
After successfully finishing the Robotics course the student:
Is able to explain and apply the underlying methods, architectures and operating systems of modern state of the art robotic platforms.
Is capable of designing, developing, implementing, analysing and evaluating algorithms for low-, and mid-level robotic tasks on different robotic simulators and platforms.
Is able to explain, analyse and evaluate the challenges and progress in robotics research.
Is able to design and implement high level robotic tasks using state of the art tools for sensor analysis, computer vision and audio recognition techniques.
Is capable of creating, implementing and evaluating a prototype for autonomous robotics tasks such as visual understanding and autonomous actuation or driving, Human Robot Interaction, etc.
Timetable
The most recent timetable can be found at the Computer Science (MSc) student website.
In MyTimetable, you can find all course and programme schedules, allowing you to create your personal timetable. Activities for which you have enrolled via MyStudyMap will automatically appear in your timetable.
Additionally, you can easily link MyTimetable to a calendar app on your phone, and schedule changes will be automatically updated in your calendar. You can also choose to receive email notifications about schedule changes. You can enable notifications in Settings after logging in.
Questions? Watch the video, read the instructions, or contact the ISSC helpdesk.
Note: Joint Degree students from Leiden/Delft need to combine information from both the Leiden and Delft MyTimetables to see a complete schedule. This video explains how to do it.
Mode of instruction
Lectures
Projects
Workshops
Student discussions
Presentations
Homework and assignments
Course load
Hours of study: 168 (= 6 EC)
Lectures: 26
Practical work: 72
Other (self-study): 70
Assessment method
The final grade is based on:
Homework Assignments (Pass/No Pass; to obtain a sufficient grade for the course the Homework Assignments should have a Pass)
2 workshops (each 10% of the final grade, totalling 20% of the final grade)
Mobile Robot Challenge (20% of the grade)
Robotics Project (60% of the grade)
The teacher will inform the students how the inspection of and follow-up discussion of the work will take place.
Reading list
Conferences and journals on Robotics.
Registration
As a student, you are responsible for enrolling on time through MyStudyMap.
In this short video, you can see step-by-step how to enrol for courses in MyStudyMap.
Extensive information about the operation of MyStudyMap can be found here.
There are two enrolment periods per year:
Enrolment for the fall opens in July
Enrolment for the spring opens in December
See this page for more information about deadlines and enrolling for courses and exams.
Note:
It is mandatory to enrol for all activities of a course that you are going to follow.
Your enrolment is only complete when you submit your course planning in the ‘Ready for enrolment’ tab by clicking ‘Send’.
Not being enrolled for an exam/resit means that you are not allowed to participate in the exam/resit.
Contact
Lecturer: dr Erwin M. Bakker
Assistent: To be announced.
Website: Robotics
Remarks
Software
Starting from the 2024/2025 academic year, the Faculty of Science will use the software distribution platform Academic Software. Through this platform, you can access the software needed for specific courses in your studies. For some software, your laptop must meet certain system requirements, which will be specified with the software. It is important to install the software before the start of the course. More information about the laptop requirements can be found on the student website.