| 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 | 524 | 2022 |
| Leveraging big data for grasp planning D Kappler, J Bohg, S Schaal 2015 IEEE international conference on robotics and automation (ICRA), 4304-4311, 2015 | 335 | 2015 |
| Gpt-4o system card A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ... arXiv preprint arXiv:2410.21276, 2024 | 288 | 2024 |
| 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 | 187 | 2023 |
| Riemannian motion policies ND Ratliff, J Issac, D Kappler, S Birchfield, D Fox arXiv preprint arXiv:1801.02854, 2018 | 182 | 2018 |
| 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 | 161 | 2016 |
| 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 | 116 | 2018 |
| Openai o1 system card A Jaech, A Kalai, A Lerer, A Richardson, A El-Kishky, A Low, A Helyar, ... arXiv preprint arXiv:2412.16720, 2024 | 104 | 2024 |
| Data-driven online decision making for autonomous manipulation. D Kappler, P Pastor, M Kalakrishnan, M Wüthrich, S Schaal Robotics: science and systems 11, 2015 | 77 | 2015 |
| 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 | 65 | 2019 |
| 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 | 61 | 2019 |
| 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 | 57 | 2011 |
| 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 | 48 | 2016 |
| 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 | 46 | 2016 |
| 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 | 45 | 2020 |
| 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 | 38 | 2017 |
| 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 | 38 | 2010 |
| 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 | 35 | 2012 |
| Doomed: Direct online optimization of modeling errors in dynamics N Ratliff, F Meier, D Kappler, S Schaal Big data 4 (4), 253-268, 2016 | 30 | 2016 |
| 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 | 30 | 2016 |
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceEmail được xác minh tại google.com
