Maximilian Diehl

According to our database, Maximilian Diehl authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Causal Approach to Predicting and Improving Human Perceptions of Social Navigation Robots.

Maximilian Diehl, Nathan Tsoi, Gustavo Chavez, Karinne Ramírez-Amaro, Marynel Vázquez

CoRR, March, 2026

The Role of Real-World Data in Evaluating Causal Bayesian Networks: Data Collection Guidelines and Case Study.

Zhitao Liang, Maximilian Diehl, Nanami Hashimoto, Anne Köpken, Daniel Leidner, Karinne Ramírez-Amaro, Emmanuel Dean

Proceedings of the IEEE/SICE International Symposium on System Integration, 2026

2025

Leveraging Symbolic Models in Reinforcement Learning for Multi-skill Chaining^*.

Wenhao Lu, Maximilian Diehl, Jonas Sjöberg, Karinne Ramírez-Amaro

Proceedings of the IEEE/SICE International Symposium on System Integration, 2025

Enabling Robots to Identify Missing Steps in Robot Tasks for Guided Learning from Demonstration.

Maximilian Diehl, Tathagata Chakraborti, Karinne Ramírez-Amaro

Proceedings of the IEEE/SICE International Symposium on System Integration, 2025

2024

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

Maximilian Diehl, Karinne Ramírez-Amaro

IEEE Robotics Autom. Lett., February, 2024

Learning Robot Skills From Demonstration for Multi-Agent Planning.

Maximilian Diehl, Isacco Zappa, Andrea Maria Zanchettin, Karinne Ramírez-Amaro

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

A causal-based approach to explain, predict and prevent failures in robotic tasks.

Maximilian Diehl, Karinne Ramírez-Amaro

Robotics Auton. Syst., April, 2023

Guided Demonstrations Using Automated Excuse Generation.

Maximilian Diehl, Tathagata Chakraborti, Karinne Ramírez-Amaro

CoRR, 2023

The Importance of Human Factors for Trusted Human-Robot Collaborations.

Karinne Ramírez-Amaro, Ilaria Torre, Maximilian Diehl, Emmanuel Dean

Proceedings of the International Conference on Human-Agent Interaction, 2023

2022

Why Did I Fail? A Causal-Based Method to Find Explanations for Robot Failures.

Maximilian Diehl, Karinne Ramírez-Amaro

IEEE Robotics Autom. Lett., 2022

2021

Optimizing robot planning domains to reduce search time for long-horizon planning.

Maximilian Diehl, Chris Paxton, Karinne Ramírez-Amaro

CoRR, 2021

Work in Progress - Automated Generation of Robotic Planning Domains from Observations.

Maximilian Diehl, Karinne Ramírez-Amaro

CoRR, 2021

Automated Generation of Robotic Planning Domains from Observations.

Maximilian Diehl, Chris Paxton, Karinne Ramírez-Amaro

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Augmented Reality interface to verify Robot Learning.

Maximilian Diehl, Alexander Plopski, Hirokazu Kato, Karinne Ramírez-Amaro

Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020