Daniel Kappler

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 42

Top Topics

Delta Bar Delta

Shape Similarity

Imitation Learning

Inverse Dynamics

Top Venues

Robotics: Science and Systems

Publications

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)
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)
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 (2023)
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 (2022)
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 (2022)
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)
Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data. CoRR (2020)
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)
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 (2020)
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)
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)
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 (2019)
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)
Hamza Merzic, Miroslav Bogdanovic, Daniel Kappler, Ludovic Righetti, Jeannette Bohg
Leveraging Contact Forces for Learning to Grasp. ICRA (2019)
Hamza Merzic, Miroslav Bogdanovic, Daniel Kappler, Ludovic Righetti, Jeannette Bohg
Leveraging Contact Forces for Learning to Grasp. CoRR (2018)
Nathan D. Ratliff, Jan Issac, Daniel Kappler
Riemannian Motion Policies. CoRR (2018)
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) (2018)
Carlos Rubert, Daniel Kappler, Jeannette Bohg, Antonio Morales
Grasp success prediction with quality metrics. CoRR (2018)
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)
Franziska Meier, Daniel Kappler, Stefan Schaal
Online Learning of a Memory for Learning Rates. ICRA (2018)
Sergey Prokudin, Daniel Kappler, Sebastian Nowozin, Peter V. Gehler
Learning to Filter Object Detections. GCPR (2017)
Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal
A New Data Source for Inverse Dynamics Learning. CoRR (2017)
Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal
A new data source for inverse dynamics learning. IROS (2017)
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 (2017)
Carlos Rubert, Daniel Kappler, Antonio Morales, Stefan Schaal, Jeannette Bohg
On the relevance of grasp metrics for predicting grasp success. IROS (2017)
Franziska Meier, Daniel Kappler, Stefan Schaal
Online Learning of a Memory for Learning Rates. CoRR (2017)
Felix Widmaier, Daniel Kappler, Stefan Schaal, Jeannette Bohg
Robot arm pose estimation by pixel-wise regression of joint angles. ICRA (2016)
Christoph Lassner, Daniel Kappler, Martin Kiefel, Peter V. Gehler
Barrista: Caffe Well-Served. ACM Multimedia (2016)
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) (2016)
Alina Kloss, Daniel Kappler, Hendrik P. A. Lensch, Martin V. Butz, Stefan Schaal, Jeannette Bohg
Learning where to search using visual attention. IROS (2016)
Jeannette Bohg, Daniel Kappler, Stefan Schaal
Exemplar-based prediction of global object shape from local shape similarity. ICRA (2016)
Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. CoRR (2016)
Franziska Meier, Daniel Kappler, Nathan D. Ratliff, Stefan Schaal
Towards robust online inverse dynamics learning. IROS (2016)
Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. Big Data 4 (4) (2016)
Raghudeep Gadde, Varun Jampani, Martin Kiefel, Daniel Kappler, Peter V. Gehler
Superpixel Convolutional Networks Using Bilateral Inceptions. ECCV (1) (2016)
Daniel Kappler, Stefan Schaal, Jeannette Bohg
Optimizing for what matters: The top grasp hypothesis. ICRA (2016)
Manuel Wüthrich, Sebastian Trimpe, Daniel Kappler, Stefan Schaal
A New Perspective and Extension of the Gaussian Filter. Robotics: Science and Systems (2015)
Daniel Kappler, Peter Pastor, Mrinal Kalakrishnan, Manuel Wüthrich, Stefan Schaal
Data-Driven Online Decision Making for Autonomous Manipulation. Robotics: Science and Systems (2015)
Manuel Wüthrich, Sebastian Trimpe, Daniel Kappler, Stefan Schaal
A New Perspective and Extension of the Gaussian Filter. CoRR (2015)
Manuel Wüthrich, Jeannette Bohg, Daniel Kappler, Claudia Pfreundt, Stefan Schaal
The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems. CoRR (2015)
Daniel Kappler, Jeannette Bohg, Stefan Schaal
Leveraging big data for grasp planning. ICRA (2015)
Manuel Wüthrich, Jeannette Bohg, Daniel Kappler, Claudia Pfreundt, Stefan Schaal
The Coordinate Particle Filter - a novel Particle Filter for high dimensional systems. ICRA (2015)
Daniel Kappler, Lillian Y. Chang, Nancy S. Pollard, Tamim Asfour, Rüdiger Dillmann
Templates for pre-grasp sliding interactions. Robotics Auton. Syst. 60 (3) (2012)
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)
Daniel Kappler, Lillian Y. Chang, Markus Przybylski, Nancy S. Pollard, Tamim Asfour, Rüdiger Dillmann
Representation of pre-grasp strategies for object manipulation. Humanoids (2010)