Institute for Anthropomatics and Robotics - Intelligent Process Automation and Robotics Lab
Kiemel

M. Sc. Jonas Kiemel

Zur Person

Place of Birth: Schwäbisch Gmünd
Nationality: German

Career:

05/2018 - present

Research Assistant at the Institute for Anthropomatics and Robotics (IAR) - Intelligent Process Automation and Robotics (IPR)

Education:

04/2016 – 03/2018

Master‘s degree with distinction in Electrical Engineering and Information Technology at the Karlsruhe Institute of Technology (KIT)

09/2012 – 03/2016

Bachelor‘s degree with distinction in Electrical Engineering and Information Technology at the Karlsruhe Institute of Technology (KIT)

Publikationen


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