Maximilian Diehl

17 papers A 1B 2Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Causal Approach to Predicting and Improving Human Perceptions of Social Navigation Robots.
CoRR
Maximilian Diehl, Nathan Tsoi, Gustavo Chavez, Karinne Ramírez-Amaro, Marynel Vázquez
2026 — conf
The Role of Real-World Data in Evaluating Causal Bayesian Networks: Data Collection Guidelines and Case Study.
SII
Zhitao Liang, Maximilian Diehl, Nanami Hashimoto, Anne Koepken, Daniel Leidner, Karinne Ramírez-Amaro, Emmanuel Dean
2025 — conf
Enabling Robots to Identify Missing Steps in Robot Tasks for Guided Learning from Demonstration.
SII
Maximilian Diehl, Tathagata Chakraborti, Karinne Ramírez-Amaro
2025 — conf
Leveraging Symbolic Models in Reinforcement Learning for Multi-skill Chaining
SII
Wenhao Lu, Maximilian Diehl, Jonas Sjöberg, Karinne Ramírez-Amaro
2024 J jnl
Generating and Transferring Priors for Causal Bayesian Network Parameter Estimation in Robotic Tasks.
IEEE Robotics Autom. Lett.
Maximilian Diehl, Karinne Ramírez-Amaro
2024 — conf
Learning Robot Skills From Demonstration for Multi-Agent Planning.
CASE
Maximilian Diehl, Isacco Zappa, Andrea Maria Zanchettin, Karinne Ramírez-Amaro
2023 J jnl
A causal-based approach to explain, predict and prevent failures in robotic tasks.
Robotics Auton. Syst.
Maximilian Diehl, Karinne Ramírez-Amaro
2023 J jnl
Guided Demonstrations Using Automated Excuse Generation.
CoRR
Maximilian Diehl, Tathagata Chakraborti, Karinne Ramírez-Amaro
2023 B conf
The Importance of Human Factors for Trusted Human-Robot Collaborations.
HAI
Karinne Ramírez-Amaro, Ilaria Torre, Maximilian Diehl, Emmanuel Dean
2022 J jnl
A Causal-based Approach to Explain, Predict and Prevent Failures in Robotic Tasks.
CoRR
Maximilian Diehl, Karinne Ramírez-Amaro
2022 J jnl
Why Did I Fail? A Causal-Based Method to Find Explanations for Robot Failures.
IEEE Robotics Autom. Lett.
Maximilian Diehl, Karinne Ramírez-Amaro
2022 J jnl
Why did I fail? A Causal-based Method to Find Explanations for Robot Failures.
CoRR
Maximilian Diehl, Karinne Ramírez-Amaro
2021 A conf
Automated Generation of Robotic Planning Domains from Observations.
IROS
Maximilian Diehl, Chris Paxton, Karinne Ramírez-Amaro
2021 J jnl
Automated Generation of Robotic Planning Domains from Observations.
CoRR
Maximilian Diehl, Chris Paxton, Karinne Ramírez-Amaro
2021 J jnl
Optimizing robot planning domains to reduce search time for long-horizon planning.
CoRR
Maximilian Diehl, Chris Paxton, Karinne Ramírez-Amaro
2021 J jnl
Work in Progress - Automated Generation of Robotic Planning Domains from Observations.
CoRR
Maximilian Diehl, Karinne Ramírez-Amaro
2020 B conf
Augmented Reality interface to verify Robot Learning.
RO-MAN
Maximilian Diehl, Alexander Plopski, Hirokazu Kato, Karinne Ramírez-Amaro