Zur Person

Geburtsort: Schwäbisch Gmünd

Nationalität: deutsch

Beruflicher Werdegang:

Seit 05.2018

Wissenschaftlicher Mitarbeiter am Institut für Anthropomatik und Robotik (IAR)
in der Forschungsgruppe Intelligente Prozessautomation und Robotik (IPR)

Studium:

04.2016 – 03.2018

Masterabschluss mit Auszeichnung in Elektro- und Informationstechnik am
Karlsruher Institut für Technologie (KIT)

09.2012 – 03.2016

Bachelorabschluss mit Auszeichnung in Elektro- und Informationstechnik am
Karlsruher Institut für Technologie (KIT)

Publikationen

Online Generation of Safely Executable Robot Trajectories Using Reinforcement Learning. Dissertation
Kiemel, J.
2024, Dezember 5. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000176958

Safe Reinforcement Learning of Robot Trajectories in the Presence of Moving Obstacles
Kiemel, J.; Righetti, L.; Kröger, T.; Asfour, T.
2024. IEEE Robotics and automation letters, 9 (12), 11353–11360. doi:10.1109/LRA.2024.3488402

Jerk-limited Traversal of One-dimensional Paths and its Application to Multi-dimensional Path Tracking
Kiemel, J. C.; Kröger, T.
2024. 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, 13th-15th May 2024, 7142 – 7148, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA57147.2024.10611388

Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors
Kiemel, J. C.; Kröger, T.
2023. 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids), Ginowan, Japan, 28-30 November 2022, 223–230, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Humanoids53995.2022.10000077

Learning Time-optimized Path Tracking with or without Sensory Feedback
Kiemel, J. C.; Kröger, T.
2022. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022, 4024–4031, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS47612.2022.9982053

Learning Robot Trajectories subject to Kinematic Joint Constraints
Kiemel, J. C.; Kroger, T.
2021. 2021 IEEE International Conference on Robotics and Automation (ICRA), 4799–4805, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA48506.2021.9561159

TrueRMA: Learning Fast and Smooth Robot Trajectories with Recursive Midpoint Adaptations in Cartesian Space
Kiemel, J. C.; Meißner, P.; Kröger, T.
2020. 2020 IEEE International Conference on Robotics and Automation (ICRA), 4225–4231, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA40945.2020.9196711

TrueÆdapt: Learning Smooth Online Trajectory Adaptation with Bounded Jerk, Acceleration and Velocity in Joint Space
Kiemel, J. C.; Weitemeyer, R.; Meißner, P.; Kröger, T.
2020. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 24 Oct.-24 Jan. 2021, 5387–5394, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS45743.2020.9341001

PaintRL: Coverage Path Planning for Industrial Spray Painting with Reinforcement Learning
Kiemel, J. C.; Yang, P.; Meißner, P.; Kröger, T.
2019. Workshop on Closing the Reality Gap in Sim2real Transfer for Robotic Manipulation, Freiburg, June 23, 2019