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Maximilian Diehl

3 accepted papers

2024

Generating and Transferring Priors for Causal Bayesian Network Parameter Estimation in Robotic Tasks

RA-L 2024

Robots acting in human environments will often face new situations and can benefit from transferring prior experience. Priors could enable robots to handle new tasks zero-shot and help prevent failures, which can be particularly costly in real robot applications. Due to their interpretable nature, c

Cited by 4SourceScholar
2021

Automated Generation of Robotic Planning Domains from Observations

IROS 2021poster

Automated planning enables robots to find plans to achieve complex, long-horizon tasks, given a planning domain. This planning domain consists of a list of actions, with their associated preconditions and effects, and is usually manually defined by a human expert, which is very time-consuming or eve…

Cited by 46SourceScholar