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2020 – today
- 2024
[i16]Aaron Jaech, Adam Kalai, Adam Lerer, Adam Richardson, Ahmed El-Kishky, Aiden Low, Alec Helyar, Aleksander Madry, Alex Beutel, Alex Carney, Alex Iftimie, Alex Karpenko, Alex Tachard Passos, Alexander Neitz, Alexander Prokofiev, Alexander Wei, Allison Tam, Ally Bennett, Ananya Kumar, Andre Saraiva, Andrea Vallone, Andrew Duberstein, Andrew Kondrich, Andrey Mishchenko, Andy Applebaum, Angela Jiang, Ashvin Nair, Barret Zoph, Behrooz Ghorbani, Ben Rossen, Benjamin Sokolowsky, Boaz Barak, Bob McGrew, Borys Minaiev, Botao Hao, Bowen Baker, Brandon Houghton, Brandon McKinzie, Brydon Eastman, Camillo Lugaresi, Cary Bassin, Cary Hudson, Chak Ming Li, Charles de Bourcy, Chelsea Voss, Chen Shen, Chong Zhang, Chris Koch, Chris Orsinger, Christopher Hesse, Claudia Fischer, Clive Chan, Dan Roberts, Daniel Kappler, Daniel Levy, Daniel Selsam, David Dohan, David Farhi, David Mely, David Robinson, Dimitris Tsipras, Doug Li, Dragos Oprica, Eben Freeman, Eddie Zhang, Edmund Wong, Elizabeth Proehl, Enoch Cheung, Eric Mitchell, Eric Wallace, Erik Ritter, Evan Mays, Fan Wang, Felipe Petroski Such, Filippo Raso, Florencia Leoni, Foivos Tsimpourlas, Francis Song, Fred von Lohmann, Freddie Sulit, Geoff Salmon, Giambattista Parascandolo, Gildas Chabot, Grace Zhao, Greg Brockman, Guillaume Leclerc, Hadi Salman, Haiming Bao, Hao Sheng, Hart Andrin, Hessam Bagherinezhad, Hongyu Ren, Hunter Lightman, Hyung Won Chung, Ian Kivlichan, Ian O'Connell, Ian Osband, Ignasi Clavera Gilaberte, Ilge Akkaya:
OpenAI o1 System Card. CoRR abs/2412.16720 (2024)- 2023
- [c25]Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler:
Open-vocabulary Queryable Scene Representations for Real World Planning. ICRA 2023: 11509-11522 - [c24]Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David J. Rendleman, Sean Kirmani, Jeffrey Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine:
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. Robotics: Science and Systems 2023 - [i15]Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Kelly Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David Rendleman, Sean Kirmani, Jeff Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine:
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. CoRR abs/2305.03270 (2023) - 2022
- [i14]Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn:
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning. CoRR abs/2202.02005 (2022) - [i13]Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler:
Open-vocabulary Queryable Scene Representations for Real World Planning. CoRR abs/2209.09874 (2022) - 2021
- [c23]Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn:
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning. CoRL 2021: 991-1002 - 2020
- [c22]Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn:
Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards. ICLR 2020 - [c21]Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn:
Scalable Multi-Task Imitation Learning with Autonomous Improvement. ICRA 2020: 2167-2173 - [c20]Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan:
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data. ICRA 2020: 3597-3603 - [i12]Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn:
Scalable Multi-Task Imitation Learning with Autonomous Improvement. CoRR abs/2003.02636 (2020) - [i11]Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan:
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data. CoRR abs/2005.06594 (2020)
2010 – 2019
- 2019
- [b1]Daniel Kappler:
Combining Model-Based with Learning-Based Approaches for Autonomous Manipulation. Karlsruhe University, Germany, 2019 - [j5]Carlos Rubert, Daniel Kappler, Jeannette Bohg
, Antonio Morales:
Predicting grasp success in the real world - A study of quality metrics and human assessment. Robotics Auton. Syst. 121 (2019) - [c19]Hamza Merzic, Miroslav Bogdanovic, Daniel Kappler, Ludovic Righetti, Jeannette Bohg:
Leveraging Contact Forces for Learning to Grasp. ICRA 2019: 3615-3621 - [i10]Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn:
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward. CoRR abs/1906.03352 (2019) - 2018
- [j4]Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wuthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg:
Real-Time Perception Meets Reactive Motion Generation. IEEE Robotics Autom. Lett. 3(3): 1864-1871 (2018) - [c18]Martin Soltes, Daniel Kappler, Sascha Koberstaedt, Markus Lienkamp:
A case study of a framework for user-centered hardware development based on the aCar electric vehicle project. EVER 2018: 1-8 - [c17]Franziska Meier, Daniel Kappler, Stefan Schaal:
Online Learning of a Memory for Learning Rates. ICRA 2018: 2425-2432 - [i9]Nathan D. Ratliff, Jan Issac, Daniel Kappler:
Riemannian Motion Policies. CoRR abs/1801.02854 (2018) - [i8]Carlos Rubert, Daniel Kappler, Jeannette Bohg, Antonio Morales:
Grasp success prediction with quality metrics. CoRR abs/1809.03276 (2018) - [i7]Hamza Merzic, Miroslav Bogdanovic, Daniel Kappler, Ludovic Righetti, Jeannette Bohg:
Leveraging Contact Forces for Learning to Grasp. CoRR abs/1809.07004 (2018) - 2017
- [c16]Sergey Prokudin, Daniel Kappler, Sebastian Nowozin, Peter V. Gehler:
Learning to Filter Object Detections. GCPR 2017: 52-62 - [c15]Carlos Rubert, Daniel Kappler, Antonio Morales, Stefan Schaal, Jeannette Bohg:
On the relevance of grasp metrics for predicting grasp success. IROS 2017: 265-272 - [c14]Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal:
A new data source for inverse dynamics learning. IROS 2017: 4723-4730 - [i6]Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wüthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg:
Real-time Perception meets Reactive Motion Generation. CoRR abs/1703.03512 (2017) - [i5]Franziska Meier, Daniel Kappler, Stefan Schaal:
Online Learning of a Memory for Learning Rates. CoRR abs/1709.06709 (2017) - [i4]Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal:
A New Data Source for Inverse Dynamics Learning. CoRR abs/1710.02513 (2017) - 2016
- [j3]Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal:
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. Big Data 4(4): 253-268 (2016) - [j2]Manuel Wüthrich, Sebastian Trimpe, Cristina Garcia Cifuentes, Daniel Kappler, Stefan Schaal:
A new perspective and extension of the Gaussian Filter. Int. J. Robotics Res. 35(14): 1731-1749 (2016) - [c13]Raghudeep Gadde, Varun Jampani, Martin Kiefel, Daniel Kappler, Peter V. Gehler:
Superpixel Convolutional Networks Using Bilateral Inceptions. ECCV (1) 2016: 597-613 - [c12]Felix Widmaier, Daniel Kappler, Stefan Schaal, Jeannette Bohg:
Robot arm pose estimation by pixel-wise regression of joint angles. ICRA 2016: 616-623 - [c11]Daniel Kappler, Stefan Schaal, Jeannette Bohg:
Optimizing for what matters: The top grasp hypothesis. ICRA 2016: 2167-2174 - [c10]Jeannette Bohg, Daniel Kappler, Stefan Schaal:
Exemplar-based prediction of global object shape from local shape similarity. ICRA 2016: 3398-3405 - [c9]Franziska Meier, Daniel Kappler, Nathan D. Ratliff, Stefan Schaal:
Towards robust online inverse dynamics learning. IROS 2016: 4034-4039 - [c8]Alina Kloss, Daniel Kappler, Hendrik P. A. Lensch, Martin V. Butz, Stefan Schaal, Jeannette Bohg:
Learning where to search using visual attention. IROS 2016: 5238-5245 - [c7]Christoph Lassner, Daniel Kappler, Martin Kiefel, Peter V. Gehler:
Barrista: Caffe Well-Served. ACM Multimedia 2016: 1210-1213 - [i3]Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal:
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. CoRR abs/1608.00309 (2016) - 2015
- [c6]Manuel Wüthrich, Jeannette Bohg, Daniel Kappler, Claudia Pfreundt, Stefan Schaal:
The Coordinate Particle Filter - a novel Particle Filter for high dimensional systems. ICRA 2015: 2454-2461 - [c5]Daniel Kappler, Jeannette Bohg, Stefan Schaal:
Leveraging big data for grasp planning. ICRA 2015: 4304-4311 - [c4]Daniel Kappler, Peter Pastor, Mrinal Kalakrishnan, Manuel Wüthrich, Stefan Schaal:
Data-Driven Online Decision Making for Autonomous Manipulation. Robotics: Science and Systems 2015 - [c3]Manuel Wüthrich, Sebastian Trimpe, Daniel Kappler, Stefan Schaal:
A New Perspective and Extension of the Gaussian Filter. Robotics: Science and Systems 2015 - [i2]Manuel Wüthrich, Sebastian Trimpe, Daniel Kappler, Stefan Schaal:
A New Perspective and Extension of the Gaussian Filter. CoRR abs/1504.07941 (2015) - [i1]Manuel Wüthrich, Jeannette Bohg, Daniel Kappler, Claudia Pfreundt, Stefan Schaal:
The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems. CoRR abs/1505.00251 (2015) - 2012
- [j1]Daniel Kappler, Lillian Y. Chang, Nancy S. Pollard, Tamim Asfour, Rüdiger Dillmann:
Templates for pre-grasp sliding interactions. Robotics Auton. Syst. 60(3): 411-423 (2012) - 2011
- [c2]Stefan Ulbrich, Daniel Kappler, Tamim Asfour, Nikolaus Vahrenkamp, Alexander Bierbaum, Markus Przybylski, Rüdiger Dillmann:
The OpenGRASP benchmarking suite: An environment for the comparative analysis of grasping and dexterous manipulation. IROS 2011: 1761-1767 - 2010
- [c1]Daniel Kappler, Lillian Y. Chang, Markus Przybylski, Nancy S. Pollard, Tamim Asfour, Rüdiger Dillmann:
Representation of pre-grasp strategies for object manipulation. Humanoids 2010: 617-624
Coauthor Index
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