392262 ISY Project: Adaptation and Optimization of Robot Motion in Augmented Reality (Pj) (SoSe 2019)
Contents, comment
-
Robot programming can be quite exhaustive for untrained users and virtual robot simulation tools are supposed to help the user. However, these tools are hard to learn and difficult to handle. Instead of using classical simulation software, we like to develop in this project intuitive and easy to use augmented reality methods to adapt and optimize robot motions. For example, AR- based interactions may be used to define waypoints, to optimize its joint-space trajectories or interactively constrain its target pose for object manipulation, by augmenting the real world with virtual information and instructions.
The robot used in this project is a collaborative Kuka IIWA lightweight robot in an industrial environment. The motion control and path planning stacks are readily available and must not be developed in this project. The augmented reality setup will be an Android device or head-mounted AR glasses.Please note that the teams will be selected by the supervisors on the basis of short applications that students are expected to send to them. Registering to the project in the ekVV will only be regarded as expression of interest; it will not secure a team membership. Please get in touch with the supervisors for information on the application procedure.
Requirements for participation, required level
-
Required skills
Spatial sense, relevant programming skills (preferably in C# or C++), virtual and 3D modelling skills (desirable, not required), Augmented Reality
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| by appointment | n.V. | 01.04.-12.07.2019 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | Gruppenprojekt | Ungraded examination
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
- Address:
- SS2019_392262@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_162905088@ekvv.uni-bielefeld.de
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Friday, March 15, 2019
- Last update times:
- Monday, February 4, 2019
- Last update rooms:
- Monday, February 4, 2019
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 4
- Department
- Faculty of Technology
- Questions or corrections?
- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
- If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=162905088
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 162905088