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392253 ISY Project: Manipulation Planning (Pj) (SoSe 2020)

Inhalt, Kommentar

Planning manipulation sequences involves both, symbolic task-level planning and geometric path planning. We will study state-of-the-art approaches to tackle each of those and try to combine them. More specifically, Marc Toussaint developed with his group a powerful, optimization-based framework for task and manipulation planning [1-3], which is capable of planning complex task sequences including tool use. However, as a (local) gradient-based approach, it is prone to local minima and cannot escape from obstacle traps. To resolve such situations, we will utilize sampling based methods when needed [4].

[1] https://ipvs.informatik.uni-stuttgart.de/mlr/marc/publications/15-toussaint-IJCAI.pdf
[2] https://ipvs.informatik.uni-stuttgart.de/mlr/papers/17-toussaint-ICRA.pdf
[3] http://www.roboticsproceedings.org/rss14/p44.pdf
[4] http://ais.informatik.uni-freiburg.de/publications/papers/schmitt19iros.pdf
In case this would not find enough interest for a team project, this project proposal would be also offered (in reduced/modified form)
[x] as individual project
[x] as project for 2-3 students

Teilnahmevoraussetzungen, notwendige Vorkenntnisse

The robotics courses "Robot manipulators" and "Autonomous Grasping" will be very helpful to start with this project. We will learn about optimization-based planning methods in the beginning of the project, summarizing essential knowledge in some introductory talks. Experience with C/C++ will be helpful as well.

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39-M-Inf-GP Grundlagenprojekt Intelligente Systeme Gruppenprojekt unbenotete Prüfungsleistung
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