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Constantin Schempp

1 accepted papers

2025

QBIT: Quality-Aware Cloud-Based Benchmarking for Robotic Insertion Tasks

IROS 2025

Insertion tasks are fundamental yet challenging for robots, particularly in autonomous operations, due to their continuous interaction with the environment. AI-based approaches appear to be up to the challenge, but in production they must not only achieve high success rates. They must also ensure in

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