A Generic Approach to Self-localization and Mapping of Mobile Robots Without Using a Kinematic Model. - Patrick Kesper; Lars Berscheid; Florentin Wörgötter; Poramate Manoonpong (TAROS, 2015)

Omnidirectional Visual Odometry for Flying Robots using Low-power Hardware. - Simon Reich; Maurice Seer; Lars Berscheid; Florentin Wörgötter; Jan-Matthias Braun (VISIGRAPP (5: VISAPP), 2018)

Improving Data Efficiency of Self-supervised Learning for Robotic Grasping. - Lars Berscheid; Thomas Rühr; Torsten Kröger (ICRA, 2019)

Robot Learning of Shifting Objects for Grasping in Cluttered Environments. - Lars Berscheid; Pascal Meißner; Torsten Kröger (IROS, 2019)

Self-Supervised Learning for Precise Pick-and-Place Without Object Model. - Lars Berscheid; Pascal Meißner; Torsten Kröger (IEEE Robotics Autom. Lett., 2020)

Robot Learning of 6 DoF Grasping using Model-based Adaptive Primitives. - Lars Berscheid; Christian Friedrich; Torsten Kröger (ICRA, 2021)

Learning a Generative Transition Model for Uncertainty-Aware Robotic Manipulation. - Lars Berscheid; Pascal Meißner; Torsten Kröger (IROS, 2021)

Jerk-limited Real-time Trajectory Generation with Arbitrary Target States. - Lars Berscheid; Torsten Kroeger (Robotics: Science and Systems, 2021)

SpeedFolding: Learning Efficient Bimanual Folding of Garments. - Yahav Avigal; Lars Berscheid; Tamim Asfour; Torsten Kröger; Ken Goldberg (IROS, 2022)

Safely Learning Visuo-Tactile Feedback Policies in Real For Industrial Insertion. - Letian Fu; Huang Huang; Lars Berscheid; Hui Li; Ken Goldberg; Sachin Chitta (CoRR, 2022)

Safe Self-Supervised Learning in Real of Visuo-Tactile Feedback Policies for Industrial Insertion. - Letian Fu; Huang Huang; Lars Berscheid; Hui Li; Ken Goldberg; Sachin Chitta (ICRA, 2023)

Self-supervised Learning of Primitive-based Robotic Manipulation - Lars Berscheid (2023)