Các bài viết có thể truy cập công khai - Daniel KapplerTìm hiểu thêm
Không có ở bất kỳ nơi nào: 2
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
Các cơ quan ủy nhiệm: US National Science Foundation
Predicting grasp success in the real world-a study of quality metrics and human assessment
C Rubert, D Kappler, J Bohg, A Morales
Robotics and Autonomous Systems 121, 103274, 2019
Các cơ quan ủy nhiệm: Banking Foundation "la Caixa", Government of Spain
Có tại một số nơi: 10
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
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
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
Các cơ quan ủy nhiệm: European Commission
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
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense, Government of Spain
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
Các cơ quan ủy nhiệm: German Research Foundation
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
Các cơ quan ủy nhiệm: German Research Foundation
Doomed: Direct online optimization of modeling errors in dynamics
N Ratliff, F Meier, D Kappler, S Schaal
Big data 4 (4), 253-268, 2016
Các cơ quan ủy nhiệm: US National Science Foundation
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
Các cơ quan ủy nhiệm: US National Science Foundation
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
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
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
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Functional manifold projections in Deep-LEARCH
J Mainprice, A Byravan, D Kappler, D Fox, S Schaal, N Ratliff
NIPS Workshop Neurorobotics, 2016
Các cơ quan ủy nhiệm: US National Science Foundation
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