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个人简介
My group's research focusses on data-driven methods for robotic manipulation. Our recent interests include the understanding of training data requirements and transfer learning for training machine learning methods for robotic manipulation at scale and challenges in applying cloud robotics as a paradigm for robotic manipulation. Our work utilizes both state of the art deep learning and data-driven geometric and topological methods for reasoning about robot-object interactions, ranging from studying foundational data-driven robot manipulation primitives to complex interaction scenarios where objects are deformable or fragile.
研究兴趣
论文共 141 篇作者统计合作学者相似作者
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HELIYONno. 1 (2024): e23142-e23142
IEEE Robotics and Automation Lettersno. 99 (2024): 1-8
Zahid Muhammad,Pokorny Florian T.
ICRA 2024 (2024): 12076-12082
arxiv(2024)
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Florian B. Pokorny,Julian Linke, Nico Seddiki, Simon Lohrmann,Claus Gerstenberger, Katja Haspl,Marlies Feiner,Florian Eyben,Martin Hagmueller,Barbara Schuppler,Gernot Kubin,Markus Gugatschka
BIOMEDICAL SIGNAL PROCESSING AND CONTROLno. Part B (2024): 105595-105595
ICRA 2024 (2024): 6513-6520
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作者统计
#Papers: 134
#Citation: 3023
H-Index: 29
G-Index: 50
Sociability: 6
Diversity: 3
Activity: 30
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