Kiemel

M. Sc. Jonas Kiemel

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


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