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Robin Schmid
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2020 – today
- 2024
- [i3]Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr:
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. CoRR abs/2406.07954 (2024) - 2022
- [c2]Sharmita Dey, David D. Fan, Robin Schmid, Anushri Dixit, Kyohei Otsu, Thomas Touma, Arndt F. Schilling, Ali-Akbar Agha-Mohammadi:
PrePARE: Predictive Proprioception for Agile Failure Event Detection in Robotic Exploration of Extreme Terrains. IROS 2022: 4338-4343 - [c1]Robin Schmid, Deegan Atha, Frederik Schöller, Sharmita Dey, Seyed Abolfazl Fakoorian, Kyohei Otsu, Barry Ridge, Marko Bjelonic, Lorenz Wellhausen, Marco Hutter, Ali-akbar Agha-mohammadi:
Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain. IROS 2022: 12419-12425 - [i2]Sharmita Dey, David D. Fan, Robin Schmid, Anushri Dixit, Kyohei Otsu, Thomas Touma, Arndt F. Schilling, Ali-akbar Agha-mohammadi:
PrePARE: Predictive Proprioception for Agile Failure Event Detection in Robotic Exploration of Extreme Terrains. CoRR abs/2208.00322 (2022) - [i1]Robin Schmid, Deegan Atha, Frederik Schöller, Sharmita Dey, Seyed Abolfazl Fakoorian, Kyohei Otsu, Barry Ridge, Marko Bjelonic, Lorenz Wellhausen, Marco Hutter, Ali-Akbar Agha-Mohammadi:
Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain. CoRR abs/2208.01329 (2022) - 2020
- [b1]Robin Schmid:
Computational methods for mass spectrometry data analysis and imaging. University of Münster, Germany, 2020
Coauthor Index
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last updated on 2024-07-24 21:33 CEST by the dblp team
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