Jeannette Bohg
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Data-driven grasp synthesis—a survey
J Bohg, A Morales, T Asfour, D Kragic
IEEE Transactions on Robotics 30 (2), 289-309, 2013
7702013
Leveraging big data for grasp planning
D Kappler, J Bohg, S Schaal
2015 IEEE International Conference on Robotics and Automation (ICRA), 4304-4311, 2015
2072015
Making sense of vision and touch: Learning multimodal representations for contact-rich tasks
MA Lee, Y Zhu, P Zachares, M Tan, K Srinivasan, S Savarese, L Fei-Fei, ...
IEEE Transactions on Robotics 36 (3), 582-596, 2020
200*2020
Learning grasping points with shape context
J Bohg, D Kragic
Robotics and Autonomous Systems 58 (4), 362-377, 2010
196*2010
Interactive perception: Leveraging action in perception and perception in action
J Bohg, K Hausman, B Sankaran, O Brock, D Kragic, S Schaal, ...
IEEE Transactions on Robotics 33 (6), 1273-1291, 2017
1802017
Opengrasp: a toolkit for robot grasping simulation
B León, S Ulbrich, R Diankov, G Puche, M Przybylski, A Morales, T Asfour, ...
International Conference on Simulation, Modeling, and Programming for …, 2010
1332010
Learning of grasp selection based on shape-templates
A Herzog, P Pastor, M Kalakrishnan, L Righetti, J Bohg, T Asfour, ...
Autonomous Robots 36 (1), 51-65, 2014
1182014
Mind the gap-robotic grasping under incomplete observation
J Bohg, M Johnson-Roberson, B León, J Felip, X Gratal, N Bergström, ...
2011 IEEE International Conference on Robotics and Automation, 686-693, 2011
1092011
Automatic LQR tuning based on Gaussian process global optimization
A Marco, P Hennig, J Bohg, S Schaal, S Trimpe
2016 IEEE international conference on robotics and automation (ICRA), 270-277, 2016
1022016
Three-dimensional object reconstruction of symmetric objects by fusing visual and tactile sensing
J Ilonen, J Bohg, V Kyrki
The International Journal of Robotics Research 33 (2), 321-341, 2014
86*2014
Meteornet: Deep learning on dynamic 3d point cloud sequences
X Liu, M Yan, J Bohg
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
682019
Combining learned and analytical models for predicting action effects from sensory data
A Kloss, S Schaal, J Bohg
The International Journal of Robotics Research, 0278364920954896, 2020
65*2020
Probabilistic object tracking using a range camera
M Wüthrich, P Pastor, M Kalakrishnan, J Bohg, S Schaal
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
612013
Probabilistic articulated real-time tracking for robot manipulation
CG Cifuentes, J Issac, M Wüthrich, S Schaal, J Bohg
IEEE Robotics and Automation Letters 2 (2), 577-584, 2016
552016
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
542018
Variable impedance control in end-effector space: An action space for reinforcement learning in contact-rich tasks
R Martín-Martín, MA Lee, R Gardner, S Savarese, J Bohg, A Garg
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
502019
Attention-based active 3D point cloud segmentation
M Johnson-Roberson, J Bohg, M Björkman, D Kragic
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
492010
Enhanced visual scene understanding through human-robot dialog
M Johnson-Roberson, J Bohg, G Skantze, J Gustafson, R Carlson, ...
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011
462011
Depth-based object tracking using a robust gaussian filter
J Issac, M Wüthrich, CG Cifuentes, J Bohg, S Trimpe, S Schaal
2016 IEEE International Conference on Robotics and Automation (ICRA), 608-615, 2016
432016
Self-supervised learning of state estimation for manipulating deformable linear objects
M Yan, Y Zhu, N Jin, J Bohg
IEEE robotics and automation letters 5 (2), 2372-2379, 2020
412020
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Artigos 1–20