392277 ISY Project: Robotic In-hand Dexterous Manipulation (Pj) (SoSe 2022)
Contents, comment
-
Short Description:
In the project, we propose to fuse the robotic vision and tactile sensing for a in-hand manipulation task.
Multifingered robotic hand and its physics simulator will be used. Following research goals are expected achieved
by all team members. Feel free approaching me once you are interested in one of them
(1) object's reconstruction while it is rotated in human hand (ICP-based approach)
(2) multi-fingered robotic hand control policy to rotate the object in-hand (machine learning or adaptive control)
(3) known object pose estimation while it is grasped in hand (ICP-based approach)
The project is derived from DFG project DEXMAN
(https://gepris.dfg.de/gepris/projekt/410916101?language=en),
the students who can achieve good results are supported to prepare paper for top level conference and Journal.Required skills:
• ROS
• Python, C++
• basic knowledge on machine learning (imitation/exploration leanring)
• basic knowledge on robotic kinematics and coordinate transformation
In case this would not find enough interest for a team project, this project proposal would be also offered (in reduced/modified form)
• an individual project
• a project for only 2 students
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | weiteres Projekt | 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.
- Registered number: 0
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Address:
- SS2022_392277@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_334974458@ekvv.uni-bielefeld.de
- Coverage:
- No students to be reached via email
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Thursday, February 10, 2022
- Last update times:
- Wednesday, February 9, 2022
- Last update rooms:
- Wednesday, February 9, 2022
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- 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=334974458
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 334974458