Maximilian Diehl
Maximilian Diehl is a PhD student in the Mechatronic research group. He works at the intersection of robotics and artificial intelligence. His main research interests are task planning and learning, learning from demonstration, and human-robot collaboration.
Showing 10 publications
Learning Robot Skills From Demonstration for Multi-Agent Planning
A causal-based approach to explain, predict and prevent failures in robotic tasks
The Importance of Human Factors for Trusted Human-Robot Collaborations
Why Did I Fail? a Causal-Based Method to Find Explanations for Robot Failures
Explainable and Interpretable Decision-Making for Robotic Tasks
Work in Progress - Automated Generation of Robotic Planning Domains from Observations
Optimizing robot planning domains to reduce search time for long-horizon planning
Automated Generation of Robotic Planning Domains from Observations
Augmented Reality interface to verify Robot Learning
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Showing 1 research projects
Learning & Understanding Human-Centered Robotic Manipulation Strategies