Daniel Kappler

According to our database, Daniel Kappler authored at least 35 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.

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

CoRR, 2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.

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

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Open-vocabulary Queryable Scene Representations for Real World Planning.

Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2021

BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning.

Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Scalable Multi-Task Imitation Learning with Autonomous Improvement.

Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data.

Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards.

Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Combining Model-Based with Learning-Based Approaches for Autonomous Manipulation

Daniel Kappler

PhD thesis, 2019

Predicting grasp success in the real world - A study of quality metrics and human assessment.

Carlos Rubert, Daniel Kappler, Jeannette Bohg, Antonio Morales

Robotics Auton. Syst., 2019

Watch, Try, Learn: Meta-Learning from Demonstrations and Reward.

Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn

CoRR, 2019

Leveraging Contact Forces for Learning to Grasp.

Hamza Merzic, Miroslav Bogdanovic, Daniel Kappler, Ludovic Righetti, Jeannette Bohg

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Real-Time Perception Meets Reactive Motion Generation.

Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wuthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg

IEEE Robotics Autom. Lett., 2018

Grasp success prediction with quality metrics.

Carlos Rubert, Daniel Kappler, Jeannette Bohg, Antonio Morales

CoRR, 2018

Riemannian Motion Policies.

Nathan D. Ratliff, Jan Issac, Daniel Kappler

CoRR, 2018

Online Learning of a Memory for Learning Rates.

Franziska Meier, Daniel Kappler, Stefan Schaal

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

A case study of a framework for user-centered hardware development based on the aCar electric vehicle project.

Martin Soltes, Daniel Kappler, Sascha Koberstaedt, Markus Lienkamp

Proceedings of the Thirteenth International Conference on Ecological Vehicles and Renewable Energies, 2018

2017

On the relevance of grasp metrics for predicting grasp success.

Carlos Rubert, Daniel Kappler, Antonio Morales, Stefan Schaal, Jeannette Bohg

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

A new data source for inverse dynamics learning.

Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Learning to Filter Object Detections.

Sergey Prokudin, Daniel Kappler, Sebastian Nowozin, Peter V. Gehler

Proceedings of the Pattern Recognition - 39th German Conference, 2017

2016

A new perspective and extension of the Gaussian Filter.

Manuel Wüthrich, Sebastian Trimpe, Cristina Garcia Cifuentes, Daniel Kappler, Stefan Schaal

Int. J. Robotics Res., 2016

DOOMED: Direct Online Optimization of Modeling Errors in Dynamics.

Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal

Big Data, 2016

Barrista: Caffe Well-Served.

Christoph Lassner, Daniel Kappler, Martin Kiefel, Peter V. Gehler

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Towards robust online inverse dynamics learning.

Franziska Meier, Daniel Kappler, Nathan D. Ratliff, Stefan Schaal

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Learning where to search using visual attention.

Alina Kloss, Daniel Kappler, Hendrik P. A. Lensch, Martin V. Butz, Stefan Schaal, Jeannette Bohg

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Robot arm pose estimation by pixel-wise regression of joint angles.

Felix Widmaier, Daniel Kappler, Stefan Schaal, Jeannette Bohg

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Optimizing for what matters: The top grasp hypothesis.

Daniel Kappler, Stefan Schaal, Jeannette Bohg

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Exemplar-based prediction of global object shape from local shape similarity.

Jeannette Bohg, Daniel Kappler, Stefan Schaal

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Superpixel Convolutional Networks Using Bilateral Inceptions.

Raghudeep Gadde, Varun Jampani, Martin Kiefel, Daniel Kappler, Peter V. Gehler

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

A New Perspective and Extension of the Gaussian Filter.

Manuel Wüthrich, Sebastian Trimpe, Daniel Kappler, Stefan Schaal

Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Data-Driven Online Decision Making for Autonomous Manipulation.

Daniel Kappler, Peter Pastor, Mrinal Kalakrishnan, Manuel Wüthrich, Stefan Schaal

Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

The Coordinate Particle Filter - a novel Particle Filter for high dimensional systems.

Manuel Wüthrich, Jeannette Bohg, Daniel Kappler, Claudia Pfreundt, Stefan Schaal

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Leveraging big data for grasp planning.

Daniel Kappler, Jeannette Bohg, Stefan Schaal

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2012

Templates for pre-grasp sliding interactions.

Daniel Kappler, Lillian Y. Chang, Nancy S. Pollard, Tamim Asfour, Rüdiger Dillmann

Robotics Auton. Syst., 2012

2011

The OpenGRASP benchmarking suite: An environment for the comparative analysis of grasping and dexterous manipulation.

Stefan Ulbrich, Daniel Kappler, Tamim Asfour, Nikolaus Vahrenkamp, Alexander Bierbaum, Markus Przybylski, Rüdiger Dillmann

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010

Representation of pre-grasp strategies for object manipulation.

Daniel Kappler, Lillian Y. Chang, Markus Przybylski, Nancy S. Pollard, Tamim Asfour, Rüdiger Dillmann

Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010