Daniel Kappler
Daniel Kappler
Roboticist, X
Verified email at x.team - Homepage
Title
Cited by
Cited by
Year
Leveraging big data for grasp planning
D Kappler, J Bohg, S Schaal
2015 IEEE International Conference on Robotics and Automation (ICRA), 4304-4311, 2015
1572015
Superpixel Convolutional Networks using Bilateral Inceptions
R Gadde, V Jampani, M Kiefel, D Kappler, P Gehler
Proceedings of the European Conference on Computer Vision (ECCV), 2016
622016
Data-Driven Online Decision Making for Autonomous Manipulation.
D Kappler, P Pastor, M Kalakrishnan, M Wüthrich, S Schaal
Robotics: Science and Systems, 2015
492015
The OpenGRASP benchmarking suite: An environment for the comparative analysis of grasping and dexterous manipulation
S Ulbrich, D Kappler, T Asfour, N Vahrenkamp, A Bierbaum, M Przybylski, ...
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011
422011
Real-time perception meets reactive motion generation
D Kappler, F Meier, J Issac, J Mainprice, CG Cifuentes, M Wüthrich, ...
IEEE Robotics and Automation Letters 3 (3), 1864-1871, 2018
272018
Towards robust online inverse dynamics learning
F Meier, D Kappler, N Ratliff, S Schaal
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
232016
Representation of pre-grasp strategies for object manipulation
D Kappler, L Chang, M Przybylski, N Pollard, T Asfour, R Dillmann
2010 10th IEEE-RAS International Conference on Humanoid Robots, 617-624, 2010
222010
Riemannian motion policies
ND Ratliff, J Issac, D Kappler, S Birchfield, D Fox
arXiv preprint arXiv:1801.02854, 2018
212018
A new perspective and extension of the Gaussian Filter
M Wuethrich, S Trimpe, C Garcia Cifuentes, D Kappler, S Schaal
The International Journal of Robotics Research 35 (14), 1731-1749, 2016
192016
Robot arm pose estimation by pixel-wise regression of joint angles
F Widmaier, D Kappler, S Schaal, J Bohg
2016 IEEE International Conference on Robotics and Automation (ICRA), 616-623, 2016
162016
Doomed: Direct online optimization of modeling errors in dynamics
N Ratliff, F Meier, D Kappler, S Schaal
Big data 4 (4), 253-268, 2016
152016
Templates for pre-grasp sliding interactions
D Kappler, LY Chang, NS Pollard, T Asfour, R Dillmann
Robotics and Autonomous Systems 60 (3), 411-423, 2012
152012
Online learning of a memory for learning rates
F Meier, D Kappler, S Schaal
2018 IEEE International Conference on Robotics and Automation (ICRA), 2425-2432, 2018
132018
Leveraging contact forces for learning to grasp
H Merzić, M Bogdanović, D Kappler, L Righetti, J Bohg
2019 International Conference on Robotics and Automation (ICRA), 3615-3621, 2019
102019
On the relevance of grasp metrics for predicting grasp success
C Rubert, D Kappler, A Morales, S Schaal, J Bohg
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
92017
A new data source for inverse dynamics learning
D Kappler, F Meier, N Ratliff, S Schaal
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
72017
The coordinate particle filter-a novel particle filter for high dimensional systems
M Wüthrich, J Bohg, D Kappler, C Pfreundt, S Schaal
2015 IEEE International Conference on Robotics and Automation (ICRA), 2454-2461, 2015
72015
Watch, try, learn: Meta-learning from demonstrations and reward
A Zhou, E Jang, D Kappler, A Herzog, M Khansari, P Wohlhart, Y Bai, ...
arXiv preprint arXiv:1906.03352, 2019
52019
Optimizing for what matters: the top grasp hypothesis
D Kappler, S Schaal, J Bohg
2016 IEEE International Conference on Robotics and Automation (ICRA), 2167-2174, 2016
52016
Scalable multi-task imitation learning with autonomous improvement
A Singh, E Jang, A Irpan, D Kappler, M Dalal, S Levine, M Khansari, ...
arXiv preprint arXiv:2003.02636, 2020
22020
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Articles 1–20