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

M. Sc. Lars Berscheid

Zur Person

seit Mai 2018

Wissenschaftlicher Mitarbeiter am Institut für Anthropomatik und Robotik - Intelligente Prozessautomation und Robotik (IAR-IPR) am Karlsruher Institut für Technologie (KIT)


Oktober 2015März 2018

Bachelor-Studium Maschinenbau, TU Braunschweig
Bachelorarbeit: "Self-Supervised Deep Learning for Robotic Grasping"


Oktober 2013März 2016

Master-Studium Physik, Universität Göttingen
Masterarbeit: "Towards Monocular Omnidirectional Visual Odometry for UAVs"


Oktober 2011 – September 2013

Bachelor-Studium Physik, Ruhr-Universität Bochum
Bachelorarbeit: "Investigations on the Ignition Behaviour of HPPMS Plasmas"


Jerk-limited Real-time Trajectory Generation with Arbitrary Target States.
Berscheid, L.; Kroeger, T.
2021. Robotics: Science and Systems XVII, Robotics: Science and Systems Foundation. doi:10.15607/RSS.2021.XVII.015
Robot Learning of 6 DoF Grasping using Model-based Adaptive Primitives.
Berscheid, L.; Friedrich, C.; Kröger, T.
2021. 2021 IEEE International Conference on Robotics and Automation (ICRA), 4474–4480, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA48506.2021.9560901
Self-supervised Learning for Precise Pick-and-place without Object Model.
Berscheid, L.; Meißner, P.; Kröger, T.
2020. IEEE Robotics and automation letters, 5 (3), 4828–4835. doi:10.1109/LRA.2020.3003865
Improving Data Efficiency of Self-supervised Learning for Robotic Grasping.
Berscheid, L.; Rühr, T.; Kröger, T.
2019. 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, Canada, 20-24 May 2019, 2125–2131, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA.2019.8793952
Robot Learning of Shifting Objects for Grasping in Cluttered Environments.
Berscheid, L.; Meißner, P.; Kröger, T.
2019. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 612–618, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS40897.2019.8968042
Omnidirectional Visual Odometry for Flying Robots using Low-power Hardware.
Reich, S.; Seer, M.; Berscheid, L.; Wörgötter, F.; Braun, J.-M.
2018. VISIGRAPP 2018 : proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Funchal, P, January 27-29, 2018. Ed.: A. Tremeau. Vol. 5, 499–507, SciTePress. doi:10.5220/0006509704990507