Maximilian Diehl

Doctoral Student at Mechatronics

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.

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Showing 4 publications


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

Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro
5th Workshop on Semantic Policy and Action Representations for Autonomous Robots (SPAR)
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
Proceedings - 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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
Maximilian Diehl Mechatronics
Yiannis Karayiannidis Mechatronics
Jonas Sjöberg Mechatronics
Chalmers AI Research Centre (CHAIR)

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