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Claire Chen
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2020 – today
- 2024
- [j1]María Engracia Gómez, Julio Sahuquillo, Andrea Biagioni, Nikos Chrysos, Damien Berton, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Pier Stanislao Paolucci, Elena Pastorelli, Francesco Simula, Matteo Turisini, Piero Vicini, Roberto Ammendola, Carlotta Chiarini, Chiara De Luca, Fabrizio Capuani, Adrián Castelló, Jose Duro, Eugenio Stabile, Enrique S. Quintana-Ortí, Pascale Bernier-Bruna, Claire Chen, Pierre-Axel Lagadec, Gregoire Pichon, Etienne Walter, Manolis Katevenis, Sokratis Bartzis, Orestis Mousouros, Pantelis Xirouchakis, Vangelis Mageiropoulos, Michalis Gianioudis, Harisis Loukas, Aggelos Ioannou, Nikos Kallimanis, Miguel Sánchez de la Rosa, Gabriel Gomez-Lopez, Francisco Alfaro-Cortés, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, José L. Sánchez, Gaetan De Gassowski, Matthieu Hautreaux, Stephane Mathieu, Gilles Moreau, Marc Pérache, Hugo Taboada, Torsten Hoefler, Timo Schneider, Matteo Barnaba, Giuseppe Piero Brandino, Francesco De Giorgi, Matteo Poggi, Iakovos Mavroidis, Yannis Papaefstathiou, Nikolaos Tampouratzis, Benjamin Kalisch, Ulrich Krackhardt, Mondrian Nuessle, Wolfgang Frings, Dominik Gottwald, Felime Guimaraes, Max Holicki, Volker Marx, Yannik Müller, Carsten Clauss, Hugo Falter, Xu Huang, Jennifer Lopez Barillao, Thomas Moschny, Simon Pickartz:
RED-SEA Project: Towards a new-generation European interconnect. Microprocess. Microsystems 110: 105102 (2024) - [c9]Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets:
What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments? ICRA 2024: 17515-17521 - [i9]Shuze Liu, Claire Chen, Shangtong Zhang:
Doubly Optimal Policy Evaluation for Reinforcement Learning. CoRR abs/2410.02226 (2024) - [i8]Claire Chen, Shuze Liu, Shangtong Zhang:
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning. CoRR abs/2410.05655 (2024) - 2023
- [c8]Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier:
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? NeurIPS 2023 - [i7]Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier:
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? CoRR abs/2303.18240 (2023) - [i6]Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets:
What do we learn from a large-scale study of pre-trained visual representations in sim and real environments? CoRR abs/2310.02219 (2023) - [i5]Carlota Parés-Morlans, Claire Chen, Yijia Weng, Michelle Yi, Yuying Huang, Nick Heppert, Linqi Zhou, Leonidas J. Guibas, Jeannette Bohg:
AO-Grasp: Articulated Object Grasp Generation. CoRR abs/2310.15928 (2023) - 2022
- [c7]Andrea Biagioni, Paolo Cretaro, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Pier Stanislao Paolucci, Elena Pastorelli, Francesco Simula, Matteo Turisini, Piero Vicini, Roberto Ammendola, Pascale Bernier-Bruna, Claire Chen, Said Derradji, Stéphane Guez, Pierre-Axel Lagadec, Gregoire Pichon, Etienne Walter, Gaetan De Gassowski, Matthieu Hautreaux, Stephane Mathieu, Gilles Moreau, Marc Pérache, Hugo Taboada, Torsten Hoefler, Timo Schneider, Matteo Barnaba, Giuseppe Piero Brandino, Francesco De Giorgi, Matteo Poggi, Iakovos Mavroidis, Yannis Papaefstathiou, Nikolaos Tampouratzis, Benjamin Kalisch, Ulrich Krackhardt, Mondrian Nuessle, Pantelis Xirouchakis, Vangelis Mageiropoulos, Michalis Gianioudis, Harisis Loukas, Aggelos Ioannou, Nikos Kallimanis, Nikos Chrysos, Manolis Katevenis, Wolfgang Frings, Dominik Gottwald, Felime Guimaraes, Max Holicki, Volker Marx, Yannik Müller, Carsten Clauss, Hugo Falter, Xu Huang, Jennifer Lopez Barillao, Thomas Moschny, Simon Pickartz, Francisco J. Alfaro, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, José L. Sánchez, Adrián Castelló, Jose Duro, María Engracia Gómez, Enrique S. Quintana-Ortí, Julio Sahuquillo, Eugenio Stabile:
RED-SEA: Network Solution for Exascale Architectures. DSD 2022: 712-719 - [c6]Nick Heppert, Toki Migimatsu, Brent Yi, Claire Chen, Jeannette Bohg:
Category-Independent Articulated Object Tracking with Factor Graphs. IROS 2022: 3800-3807 - [i4]Nick Heppert, Toki Migimatsu, Brent Yi, Claire Chen, Jeannette Bohg:
Category-Independent Articulated Object Tracking with Factor Graphs. CoRR abs/2205.03721 (2022) - 2021
- [c5]Claire Chen, Preston Culbertson, Marion Lepert, Mac Schwager, Jeannette Bohg:
TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation. IROS 2021: 8262-8268 - [c4]Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf:
Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) 2021: 190-204 - [i3]Claire Chen, Krishnan Srinivasan, Jeffrey Zhang, Junwu Zhang:
Dexterous Manipulation Primitives for the Real Robot Challenge. CoRR abs/2101.11597 (2021) - [i2]Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles B. Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf:
A Robot Cluster for Reproducible Research in Dexterous Manipulation. CoRR abs/2109.10957 (2021) - [i1]Claire Chen, Preston Culbertson, Marion Lepert, Mac Schwager, Jeannette Bohg:
TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation. CoRR abs/2109.14088 (2021)
2010 – 2019
- 2019
- [c3]Steven Ceron, Logan Horowitz, Nialah Wilson, Claire Chen, Daniel Kim, Kirstin Petersen:
Towards a Scalable, Self-Reconfigurable Robot with Compliant Modules. MRS 2019: 47-49 - 2017
- [c2]Hsueh-I Chen, Claire Chen, Yung-Yu Chuang:
A deep convolutional neural network for continuous zoom with dual cameras. SIGGRAPH ASIA (Posters) 2017: 13:1-13:2
2000 – 2009
- 2009
- [c1]Li Fang, Zhang Meng, Claire Chen, Qian Hui:
Smart Motion Detection Surveillance System. ICETC 2009: 171-175
Coauthor Index
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