CENG786 ROBOT MOTION PLANNING AND CONTROL
| Course Code: | 5710786 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Computer Engineering |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | Prof.Dr. ULUÇ SARANLI |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
This course aims to introduce students to basic concepts of motion planning, including representations of state and movement, potential functions, roadmaps, cell decompositions, basic robot dynamics and control, constrained motion, randomized planning methods, hybrid planning and control, logical reasoning methods for planning.
Course Content
For course details, see https://catalog2.metu.edu.tr.Course Learning Outcomes
At the end of this course, students are expected to have gained theoretical background and practical experience in understanding and deploying motion planning algorithms for mobile robotic platforms. They will be aware of contemporary solutions to this problem, including different approaches including discretization-based methods, continuous-time approaches and probabilistic solutions. They will have a working understanding of how to model simple robotic systems to bring them into a mathematical domain in which they can apply different planning algorithms. They will also gain a basic understanding of controlling the dynamics of such robots to complement planning algorithms in cases where these two need to exist separately.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | Competence in fundamental and advanced knowledge of hardware and software Proficiency in problem solving. | ✔ | |||
| 2 | The ability to follow the contemporary technical development, and Initiative and aptitude for self-directed learning. | ✔ | |||
| 3 | They are capable of designing, and conducting experiments at advanced level. | ✔ | |||
| 4 | The ability to design and implement systems involving hardware, software, and the interaction between the two through challenging projects. | ✔ | |||
| 5 | Analyze and compare relative merits of alternative software design, algorithmic approaches and computer system organization, with respect to a variety of criteria relevant to the task (e. g. efficiency, scalability, security). | ✔ | |||
| 6 | Strong interpersonal skills needed for working effectively in small, diverse groups on medium to large scale technical projects. | ✔ | |||
| 7 | Strong oral communication skills essential for effectively presenting technical material to an audience and strong written communication skills and the ability to write technical documents that include specification, design, and implementation of a major project. | ✔ | |||