392115 Autonomes Greifen (V) (WiSe 2021/2022)

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This lecture introduces various approaches for autonomous grasp and manipulation planning and execution - from classical approaches to deep reinforcement learning methods (end-to-end learning). The usual grasping pipeline covers scene segmentation, object fitting, grasp selection, grasp evaluation, planning, and execution. If time admits we will also study tactile sensing and tactile-based manipulation - an important research topic nowadays.

As a theoretical foundation to tackle these topics, we will first study classical grasp evaluation based on wrench-space analysis: We will consider how to formally describe grasps, how to model contacts and friction, as well as learn about grasp evaluation measures like grasp stability and manipulability.

Tentative Schedule:

  • Screw Theory: Twists, Wrenches
  • Multi-fingered Grasping: Representation and Evaluation of Grasps
  • Grasping Approaches
  • Tactile-Based Manipulation

The lecture will be given in English if desired by the audience. The slides will be in English.

Requirements for participation, required level

required prerequisites: Robotic Manipulators
(Robotics Basics: Transforms, Forward/Inverse Kinematics, Velocities/Twists, Jacobian IK)

External comments page

http://ni.www.techfak.uni-bielefeld.de/teaching/grasping

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Subject assignments

Module Course Requirements  
39-M-Inf-MI Manuelle Intelligenz Autonomes Greifen Ungraded examination
Graded examination
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At least 50% of the exercises need to be solved.
The (oral) exam will cover topics from both, the lecture and exercises.

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WS2021_392115@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Monday, October 31, 2022 
Last update times:
Wednesday, November 17, 2021 
Last update rooms:
Wednesday, November 17, 2021 
Type(s) / SWS (hours per week per semester)
V / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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294429683