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Daniel Kappler
Daniel Kappler
Member of Technical Staff, OpenAI
Bestätigte E-Mail-Adresse bei openai.com
Titel
Zitiert von
Zitiert von
Jahr
Bc-z: Zero-shot task generalization with robotic imitation learning
E Jang, A Irpan, M Khansari, D Kappler, F Ebert, C Lynch, S Levine, ...
Conference on Robot Learning, 991-1002, 2022
4102022
Leveraging big data for grasp planning
D Kappler, J Bohg, S Schaal
2015 IEEE international conference on robotics and automation (ICRA), 4304-4311, 2015
3242015
Riemannian motion policies
ND Ratliff, J Issac, D Kappler, S Birchfield, D Fox
arXiv preprint arXiv:1801.02854, 2018
1652018
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
1572016
Open-vocabulary queryable scene representations for real world planning
B Chen, F Xia, B Ichter, K Rao, K Gopalakrishnan, MS Ryoo, A Stone, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 11509 …, 2023
1492023
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
1062018
Data-driven online decision making for autonomous manipulation.
D Kappler, P Pastor, M Kalakrishnan, M Wüthrich, S Schaal
Robotics: science and systems 11, 2015
782015
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
622019
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
582019
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
562011
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
472016
Scalable multi-task imitation learning with autonomous improvement
A Singh, E Jang, A Irpan, D Kappler, M Dalal, S Levinev, M Khansari, ...
2020 IEEE International Conference on Robotics and Automation (ICRA), 2167-2173, 2020
422020
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
422016
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
362017
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
362010
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
322012
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
292018
Action image representation: Learning scalable deep grasping policies with zero real world data
M Khansari, D Kappler, J Luo, J Bingham, M Kalakrishnan
2020 IEEE International Conference on Robotics and Automation (ICRA), 3597-3603, 2020
282020
Doomed: Direct online optimization of modeling errors in dynamics
N Ratliff, F Meier, D Kappler, S Schaal
Big data 4 (4), 253-268, 2016
282016
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
282016
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