Representation of pre-grasp strategies for object manipulation. - Daniel Kappler; Lillian Y. Chang; Markus Przybylski; Nancy S. Pollard; Tamim Asfour; Rüdiger Dillmann (Humanoids, 2010)

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 (IROS, 2011)

Templates for pre-grasp sliding interactions. - Daniel Kappler; Lillian Y. Chang; Nancy S. Pollard; Tamim Asfour; Rüdiger Dillmann (Robotics Auton. Syst., 2012)

Leveraging big data for grasp planning. - Daniel Kappler; Jeannette Bohg; Stefan Schaal (ICRA, 2015)

The Coordinate Particle Filter - a novel Particle Filter for high dimensional systems. - Manuel Wüthrich; Jeannette Bohg; Daniel Kappler; Claudia Pfreundt; Stefan Schaal (ICRA, 2015)

Data-Driven Online Decision Making for Autonomous Manipulation. - Daniel Kappler; Peter Pastor; Mrinal Kalakrishnan; Manuel Wüthrich; Stefan Schaal (Robotics: Science and Systems, 2015)

A New Perspective and Extension of the Gaussian Filter. - Manuel Wüthrich; Sebastian Trimpe; Daniel Kappler; Stefan Schaal (Robotics: Science and Systems, 2015)

Superpixel Convolutional Networks Using Bilateral Inceptions. - Raghudeep Gadde; Varun Jampani; Martin Kiefel; Daniel Kappler; Peter V. Gehler (ECCV (1), 2016)

Exemplar-based prediction of global object shape from local shape similarity. - Jeannette Bohg; Daniel Kappler; Stefan Schaal (ICRA, 2016)

Optimizing for what matters: The top grasp hypothesis. - Daniel Kappler; Stefan Schaal; Jeannette Bohg (ICRA, 2016)

Robot arm pose estimation by pixel-wise regression of joint angles. - Felix Widmaier; Daniel Kappler; Stefan Schaal; Jeannette Bohg (ICRA, 2016)

Learning where to search using visual attention. - Alina Kloss; Daniel Kappler; Hendrik P. A. Lensch; Martin V. Butz; Stefan Schaal; Jeannette Bohg (IROS, 2016)

Towards robust online inverse dynamics learning. - Franziska Meier; Daniel Kappler; Nathan D. Ratliff; Stefan Schaal (IROS, 2016)

Barrista: Caffe Well-Served. - Christoph Lassner; Daniel Kappler; Martin Kiefel; Peter V. Gehler (ACM Multimedia, 2016)

DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. - Nathan D. Ratliff; Franziska Meier; Daniel Kappler; Stefan Schaal (Big Data, 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)

Learning to Filter Object Detections. - Sergey Prokudin; Daniel Kappler; Sebastian Nowozin; Peter V. Gehler (GCPR, 2017)

A new data source for inverse dynamics learning. - Daniel Kappler; Franziska Meier; Nathan D. Ratliff; Stefan Schaal (IROS, 2017)

On the relevance of grasp metrics for predicting grasp success. - Carlos Rubert; Daniel Kappler; Antonio Morales; Stefan Schaal; Jeannette Bohg (IROS, 2017)

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 (EVER, 2018)

Online Learning of a Memory for Learning Rates. - Franziska Meier; Daniel Kappler; Stefan Schaal (ICRA, 2018)

Riemannian Motion Policies. - Nathan D. Ratliff; Jan Issac; Daniel Kappler (CoRR, 2018)

Grasp success prediction with quality metrics. - Carlos Rubert; Daniel Kappler; Jeannette Bohg; Antonio Morales (CoRR, 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)

Leveraging Contact Forces for Learning to Grasp. - Hamza Merzic; Miroslav Bogdanovic; Daniel Kappler; Ludovic Righetti; Jeannette Bohg (ICRA, 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)

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)

Combining Model-Based with Learning-Based Approaches for Autonomous Manipulation - Daniel Kappler (2019)

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 (ICLR, 2020)

Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data. - Mohi Khansari; Daniel Kappler; Jianlan Luo; Jeff Bingham; Mrinal Kalakrishnan (ICRA, 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 (ICRA, 2020)

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 (CoRL, 2021)

Open-vocabulary Queryable Scene Representations for Real World Planning. - Boyuan Chen 003; Fei Xia 002; Brian Ichter; Kanishka Rao; Keerthana Gopalakrishnan; Michael S. Ryoo; Austin Stone; Daniel Kappler (ICRA, 2023)

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. - Alexander Herzog; Kanishka Rao; Karol Hausman; Yao Lu 006; Paul Wohlhart; Mengyuan Yan; Jessica Lin; Montserrat Gonzalez Arenas; Ted Xiao; Daniel Kappler; Daniel Ho; Jarek Rettinghouse; et al. (Robotics: Science and Systems, 2023)

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. - Alexander Herzog; Kanishka Rao; Karol Hausman; Yao Lu 006; Paul Wohlhart; Mengyuan Yan; Jessica Lin; Montserrat Gonzalez Arenas; Ted Xiao; Daniel Kappler; Daniel Ho; Jarek Rettinghouse; et al. (CoRR, 2023)

OpenAI o1 System Card. - 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; et al. (CoRR, 2024)