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2020 – today
- 2023
[b1]Lars Berscheid:
Self-supervised Learning of Primitive-based Robotic Manipulation. Karlsruhe University, Germany, 2023- [c9]Letian Fu, Huang Huang, Lars Berscheid, Hui Li, Ken Goldberg, Sachin Chitta:
Safe Self-Supervised Learning in Real of Visuo-Tactile Feedback Policies for Industrial Insertion. ICRA 2023: 10380-10386 - 2022
- [c8]Yahav Avigal, Lars Berscheid, Tamim Asfour, Torsten Kröger, Ken Goldberg:
SpeedFolding: Learning Efficient Bimanual Folding of Garments. IROS 2022: 1-8 - [i8]Yahav Avigal, Lars Berscheid, Tamim Asfour, Torsten Kröger, Ken Goldberg:
SpeedFolding: Learning Efficient Bimanual Folding of Garments. CoRR abs/2208.10552 (2022) - [i7]Letian Fu, Huang Huang, Lars Berscheid, Hui Li, Ken Goldberg, Sachin Chitta:
Safely Learning Visuo-Tactile Feedback Policies in Real For Industrial Insertion. CoRR abs/2210.01340 (2022) - 2021
- [c7]Lars Berscheid
, Christian Friedrich, Torsten Kröger:
Robot Learning of 6 DoF Grasping using Model-based Adaptive Primitives. ICRA 2021: 4474-4480 - [c6]Lars Berscheid, Pascal Meißner, Torsten Kröger:
Learning a Generative Transition Model for Uncertainty-Aware Robotic Manipulation. IROS 2021: 4670-4677 - [c5]Lars Berscheid, Torsten Kroeger:
Jerk-limited Real-time Trajectory Generation with Arbitrary Target States. Robotics: Science and Systems 2021 - [i6]Lars Berscheid, Christian Friedrich, Torsten Kröger:
Robot Learning of 6 DoF Grasping using Model-based Adaptive Primitives. CoRR abs/2103.12810 (2021) - [i5]Lars Berscheid, Torsten Kröger:
Jerk-limited Real-time Trajectory Generation with Arbitrary Target States. CoRR abs/2105.04830 (2021) - [i4]Lars Berscheid, Pascal Meißner, Torsten Kröger:
Learning a Generative Transition Model for Uncertainty-Aware Robotic Manipulation. CoRR abs/2107.02464 (2021) - 2020
- [j1]Lars Berscheid, Pascal Meißner, Torsten Kröger:
Self-Supervised Learning for Precise Pick-and-Place Without Object Model. IEEE Robotics Autom. Lett. 5(3): 4828-4835 (2020) - [i3]Lars Berscheid, Pascal Meißner, Torsten Kröger:
Self-supervised Learning for Precise Pick-and-place without Object Model. CoRR abs/2006.08373 (2020)
2010 – 2019
- 2019
- [c4]Lars Berscheid, Thomas Rühr, Torsten Kröger:
Improving Data Efficiency of Self-supervised Learning for Robotic Grasping. ICRA 2019: 2125-2131 - [c3]Lars Berscheid, Pascal Meißner, Torsten Kröger:
Robot Learning of Shifting Objects for Grasping in Cluttered Environments. IROS 2019: 612-618 - [i2]Lars Berscheid, Thomas Rühr, Torsten Kröger:
Improving Data Efficiency of Self-supervised Learning for Robotic Grasping. CoRR abs/1903.00228 (2019) - [i1]Lars Berscheid, Pascal Meißner, Torsten Kröger:
Robot Learning of Shifting Objects for Grasping in Cluttered Environments. CoRR abs/1907.11035 (2019) - 2018
- [c2]Simon Reich, Maurice Seer, Lars Berscheid, Florentin Wörgötter, Jan-Matthias Braun:
Omnidirectional Visual Odometry for Flying Robots using Low-power Hardware. VISIGRAPP (5: VISAPP) 2018: 499-507 - 2015
- [c1]Patrick Kesper, Lars Berscheid, Florentin Wörgötter, Poramate Manoonpong:
A Generic Approach to Self-localization and Mapping of Mobile Robots Without Using a Kinematic Model. TAROS 2015: 136-142
Coauthor Index
aka: Torsten Kroeger
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