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FnS - Teaching robots to grasp stuff

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If you have a question about this talk, please contact Mirco Giacobbe.

In this talk, we will peek into the highly active research field of robotic grasping and manipulation. We will focus mostly on the algorithmic side of things and consider two use cases: The first one is robotic assembly for automating production systems, where object geometries are typically available through CAD models, but high precision is required for successful assembly. The second use case is more general and considers grasping of previously unknown objects, which is generally tackled by learning-based approaches. We will look at the opportunities and challenges of leveraging physical simulation environments for gathering the required training data and learn about the difficulties of benchmarking robotic grasping.

The talk will also be streamed on Zoom:

This talk is part of the Facts and Snacks series.

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