Subject » BMEVIIIMB08
Robotic Systems Laboratory
Robotrendszerek laboratórium
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
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| Subject name (Hungarian, English) |
Robotrendszerek laboratórium
Robotic Systems Laboratory
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| Subject code | BMEVIIIMB08 | ||||||||||||
| Subject type | — | ||||||||||||
| Training Level | — | ||||||||||||
| Course types and hours (weekly/semester) |
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| Assessment type | félévközi érdemjegy | ||||||||||||
| Credits | 4 | ||||||||||||
| Subject coordinator |
Gincsainé Szádeczky-Kardoss Emese
contact:
szadeczky.emese@vik.bme.hu
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| Responsible department |
Irányítástechnika és Informatika Tanszék
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| Faculty | Villamosmérnöki és Informatikai Kar | ||||||||||||
| Subject website | — | ||||||||||||
| Primary curriculum type | — | ||||||||||||
| Direct prerequisites – Strong prerequisite | none | ||||||||||||
| Direct prerequisites – Weak prerequisite | none | ||||||||||||
| Direct prerequisites – Parallel prerequisite | none | ||||||||||||
| Direct prerequisites – Milestone prerequisite | none | ||||||||||||
| Direct prerequisites – Exclusion | none |
Objectives
Programme
During the semester, students solve ten independent measurement tasks in the department's laboratories in small measuring groups. The topics of the ten measurement sessions are as follows:
1. Solving the inverse geometry problem of a two-degree-of-freedom robot arm and implementing position control on each axis.
2. Determination of the Denavit-Hartenberg parameters of a six-degree-of-freedom industrial robot arm, solving its inverse kinematics problem in the (Simulink) Simscape environment.
3. Solving a robot programming task with a six-degree-of-freedom industrial robot arm.
4. Controlling a mobile robot: solving an odometric task, determining orientation with a Kalman filter, and realizing simple obstacle avoidance methods.
5. Signal processing for navigation purposes. Determination of position and orientation based on IMU and GPS measurements with Kalman filter.
6. Motion planning of a mobile robot using Matlab Navigation Toolbox.
7. Robot system control with ROS support.
8. Collision-free trajectory planning of multi-agent robot systems.
9. Formation control in simulation.
10. Study of multi-agent robot systems.
The course aims to allow students to gain proficiency in the practical application of the theoretical knowledge acquired in robotics, trajectory planning, navigation, and multi-agent systems, as well as to learn about the modern hardware and software tools used in research and development work in these fields.
Students who complete the course will have practical knowledge and skills in using industrial robotic arms, control, trajectory planning and navigation of mobile platforms and can effectively use the development environments available to solve tasks.
Learning outcomes
Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:
Knowledge
No learning outcomes recorded.
Skills
No learning outcomes recorded.
Attitudes
No learning outcomes recorded.
Autonomy and responsibility
No learning outcomes recorded.
Oktatási módszertan
The course is organized in the form of ten one-hundred-eighty-minute-long laboratory sessions in small measuring groups of at most four students, with the support of a supervisor. The schedule of the sessions is published at the beginning of the semester. Students are expected to carefully read the syllabi assigned to each session. Measurement sessions start with an entry quiz. In case of a failed quiz, the student may be excluded from the measurement session.
Tanulástámogató anyagok
Online források
Measurement syllabi are published on the course webpage.
Recommended preliminary knowledge for completing the subject
Knowledge type competencies
(azon előzetes ismeretek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
Modeling and control of robot systems, navigation sensors, sensor fusion methods, control of multi-agent systems
Skill type competencies
(azon előzetes képességek és készségek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
nincs
Recommended (non-compulsory) preliminary competencies
(azon ajánlott (nem kötelező) előzetesen megszerzendő kompetenciák összessége, amelyek jelentősen hozzájárulnak a tantárgy eredményes teljesítéséhez)
Modeling and control of robot systems, navigation sensors, sensor fusion methods, control of multi-agent systems
General rules
Requirements:
During the period of classes: The condition for obtaining the credit is the successful completion of all (ten) measurement sessions (at least with pass). The condition for participation in the measurements is to pass the entry quiz. Completion of a measurement session requires active participation and the (electronic) submission of a measurement report by the deadline. Each measurement is graded on a scale of five. The midsemester mark is calculated as the rounded average of the grades received for the sessions.
During the exam period: none
Additional possibilities:
A student can retake up to two missed or unsuccessful measurement sessions. A missed or unsuccessful measurement session can be repeated only once. The schedule of the retake is determined by the measurement session instructor, preferably during the time slot available in the schedule given at the beginning of the semester.
Assessment methods
In-term assessments
No detailed assessments provided.
Weight of in-term assessments
No weights provided.
Exam-period assessments
No detailed assessments provided.
Weight of exam elements
No weights provided.
Grade calculation
No grade thresholds provided.
Attendance requirements
No attendance requirements provided.
Rules for retake and resubmission
Not provided.
Short description
Not provided.
Detailed description
Not provided.
Recommended courses
Robotic Manipulators and Mobile Robots
Workload to complete the subject
No workload breakdown provided.
Validity of subject requirements
Requirements valid from:
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Requirements valid until:
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Curriculum placement
No curriculum placements recorded for this subject version.