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 2015 – März 2018

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

Oktober 2013 – März 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"

Publikationen

Self-supervised Learning of Primitive-based Robotic Manipulation. Dissertation
Berscheid, L.
2023, November 21. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000164562

Safe Self-Supervised Learning in Real of Visuo-Tactile Feedback Policies for Industrial Insertion
Fu, L.; Huang, H.; Berscheid, L.; Li, H.; Li, H.; Goldberg, K.
2023. 2023 IEEE International Conference on Robotics and Automation (ICRA), 29th May - 02nd June 2023, London, 10380 – 10386, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA48891.2023.10160763

Jerk-limited Real-time Trajectory Generation with Arbitrary Target States
Berscheid, L.; Kroeger, T.
2021. Robotics: Science and Systems XVII. Ed:: Dylan A. Shell, 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

A Generic Approach to Self-localization and Mapping of Mobile Robots Without Using a Kinematic Model
Kesper, P.; Berscheid, L.; Wörgötter, F.; Manoonpong, P.
2015. Towards Autonomous Robotic Systems. Ed.: C. Dixon, 136–142, Springer International Publishing. doi:10.1007/978-3-319-22416-9_15

Fast Time Resolved Techniques as Key to the Understanding of Energy and Particle Transport in HPPMS-Plasmas
Maszl, C.; Breilmann, W.; Berscheid, L.; Benedikt, J.; Keudell, A. von
2014. IEEE transactions on plasma science, 42 (10), 2812–2813. doi:10.1109/TPS.2014.2330700