Home Teaching WS2122 Master Seminar

Seminar (MA-INF 4213)

In this seminar, we cover state-of-the-art research papers from conferences and journals in the field of humanoid robotics and related fields. The available topics are presented in the Introductory Meeting and can be selected during the registration for the seminar on our website. In the Introductory Meeting, we will present the available topics, the registration process, the requirements, and answer your questions.

Participants of the seminar have to prepare a talk of 20 minutes which will be given on the Seminar Day at the end of the semester. After the talk, there will be a Q&A of about 5 minutes where you will be asked questions by the staff and other participants of the seminar. Bachelor students can choose to present their topic in German, master students must give their presentation in English.

The Seminar Day is a whole day event, typically from 8:30am to 3:30pm, which takes place towards the end of the semester. All participants are required to be present on the Seminar Day, to give their presentation, and also to listen to the talks of the other participants. Active participation during the Q&A sessions counts as a bonus towards your final score.

Participating students are also required to write a summary and discussion of their assigned topic. The summary and discussion should be written in LaTeX using the following template: seminar_template.tex The document should be 7 pages long not including images and references! Bachelor students can opt to write their summary in German.

Each participant will be paired up with a supervisor who monitors their progress and is available to help with questions or difficulties. Students can work freely during the semester to prepare their material. The written summary and the presentation slides must be submitted by the morning of the Seminar Day.

Covid-19

The Introductory Meeting on 19.10.2021 is planned to take place remotely via zoom. However, this may change based on updates from the University administration.Communications during the semester between supervisor and participant will be conducted via electronic means.The final presentation mode will be announced when more information is available. Changes to these directives will be announced here.

Zoom Information

Click the following link to join:

https://uni-bonn.zoom.us/j/92687710045?pwd=WVI2aHh2akJQOXNoeUlFU2ZDZEg3UT09

Contact:

 

Important dates:

Tuesday, 19.10.2021, 09:00 - 10:00

Introductory meeting (slides)

24.10.2021 Registration deadline on our website
31.10.2021 Registration deadline in BASIS 
Monday, 24.01.2022 Seminar Day and deadline for the written summary

 

Registration

Please register here.

 

Topics:

  1. Predicting Pushing Action Effects on Spatial Object Relation
    Paus et al.
    ICRA 2020
    Supervisor: Maren Bennewitz
    [PDF]
  2. Real-time Optimal Navigation Planning Using Learned Motion Costs
    Yang et al.
    ICRA 2021
    Supervisor: Maren Bennewitz
    [PDF]
  3. Autonomous Indoor Exploration via Polygon Map Construction and Graph-based SLAM Using Directional Endpoint Features
    Gao et al.
    T-ASE, 2018
    Supervisor: Arindam Roychoudhury
    [PDF]
  4. Autonomous vehicle self-localization based on abstract map and multichannel LiDAR in urban area
    Javanmardi et al.
    IATSS research 2019
    Supervisor: Arindam Roychoudhury
    [PDF]
  5. Learning to look around: Intelligently exploring unseen environments for unknown tasks
    Jayaraman et al.
    CVPR 2018
    Supervisor:Tobias Zaenker
    [PDF]
  6. Multi-Robot Region-of-Interest Reconstruction with Dec-MCTS
    Sukkar et al.
    ICRA 2019
    Supervisor:Tobias Zaenker
    [PDF]
  7. PolySLAM: A 2D Polygon-based SLAM Algorithm
    Dichtl et al.
    ICARSC 2019.
    Supervisor:Marcell Missura
    [PDF]
  8. Can I lift it? Humanoid robot reasoning about the feasibility of lifting a heavy box with unknown physical properties
    Han et al.
    IROS 2020.
    Supervisor:Marcell Missura
    [PDF]
  9. Learning Human-Aware Robot Navigation from Physical Interaction via Inverse Reinforcement Learning
    Kollmitz et al.
    IROS 2020.
    Supervisor: Jorge de Heuvel
    [PDF]
  10. Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by Leveraging Prior Demonstrations
    Pfeiffer et al.
    RA-L 2018.
    Supervisor: Jorge de Heuvel
    [PDF]
  11. Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties
    Li et al.
    RSS 2018.
    Supervisor: Nils Dengler
    [PDF]
  12. COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing
    Xu et al.
    IROS 2021.
    Supervisor: Nils Dengler
    [PDF]