Maximilian Diehl

Doctoral Student at Mechatronics
Image of Maximilian Diehl

Showing 7 publications


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

Maximilian Diehl, Karinne Ramirez-Amaro
Robotics and Autonomous Systems. Vol. 162
Journal article

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

Maximilian Diehl, Karinne Ramirez-Amaro
IEEE Robotics and Automation Letters. Vol. In Press
Journal article

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

Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro
Other conference contribution

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

Maximilian Diehl, Karinne Ramirez-Amaro
18th International Conference on Ubiquitous Robots (UR), Organised session: 'Robots in the household: A review of task knowledge acquisition, planning, and execution'
Other conference contribution

Automated Generation of Robotic Planning Domains from Observations

Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro
IEEE International Conference on Intelligent Robots and Systems, p. 6732-6738
Paper in proceeding

Augmented Reality interface to verify Robot Learning

Maximilian Diehl, Alexander Plopski, Hirokazu Kato et al
29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020, p. 378-383
Paper in proceeding

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Showing 1 research projects


Learning & Understanding Human-Centered Robotic Manipulation Strategies

Karinne Ramirez-Amaro Mechatronics
Jonas Sjöberg Mechatronics
Maximilian Diehl Mechatronics
Yiannis Karayiannidis Mechatronics
Chalmers AI Research Centre (CHAIR)

5 publications exist
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