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Maximilian Diehl
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Automated generation of robotic planning domains from observations
M Diehl, C Paxton, K Ramirez-Amaro
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
252021
Why did I fail? A Causal-based Method to Find Explanations for Robot Failures
M Diehl, K Ramirez-Amaro
IEEE Robotics and Automation Letters 7 (4), 2022
182022
Augmented reality interface to verify robot learning
M Diehl, A Plopski, H Kato, K Ramirez-Amaro
2020 29th IEEE International Conference on Robot and Human Interactive …, 2020
152020
A causal-based approach to explain, predict and prevent failures in robotic tasks
M Diehl, K Ramirez-Amaro
Robotics and Autonomous Systems 162, 104376, 2023
112023
Optimizing robot planning domains to reduce search time for long-horizon planning
M Diehl, C Paxton, K Ramirez-Amaro
5th Workshop on Semantic Policy and Action Representations for Autonomous …, 2021
12021
Generating and Transferring Priors for Causal Bayesian Network Parameter Estimation in Robotic Tasks
M Diehl, K Ramirez-Amaro
IEEE Robotics and Automation Letters, 2023
2023
The Importance of Human Factors for Trusted Human-Robot Collaborations
K Ramirez-Amaro, I Torre, M Diehl, E Dean
Proceedings of the 11th International Conference on Human-Agent Interaction …, 2023
2023
Guided Demonstrations Using Automated Excuse Generation
M Diehl, T Chakraborti, K Ramirez-Amaro
arXiv preprint arXiv:2311.18355, 2023
2023
Explainable and Interpretable Decision-Making for Robotic Tasks
M Diehl
PQDT-Global, 2022
2022
Work in Progress--Automated Generation of Robotic Planning Domains from Observations
M Diehl, K Ramirez-Amaro
18th International Conference on Ubiquitous Robots, Organized Session …, 2021
2021
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