| Spnets: Differentiable fluid dynamics for deep neural networks C Schenck, D Fox Conference on Robot Learning, 317-335, 2018 | 182 | 2018 |
| Visual closed-loop control for pouring liquids C Schenck, D Fox 2017 IEEE International Conference on Robotics and Automation (ICRA), 2629-2636, 2017 | 130 | 2017 |
| Grounding semantic categories in behavioral interactions: Experiments with 100 objects J Sinapov, C Schenck, K Staley, V Sukhoy, A Stoytchev Robotics and Autonomous Systems 62 (5), 632-645, 2014 | 92 | 2014 |
| Interactive object recognition using proprioceptive and auditory feedback J Sinapov, T Bergquist, C Schenck, U Ohiri, S Griffith, A Stoytchev The International Journal of Robotics Research 30 (10), 1250-1262, 2011 | 83 | 2011 |
| Learning robotic manipulation of granular media C Schenck, J Tompson, S Levine, D Fox Conference on Robot Learning, 239-248, 2017 | 73 | 2017 |
| Learning relational object categories using behavioral exploration and multimodal perception J Sinapov, C Schenck, A Stoytchev 2014 IEEE international conference on robotics and automation (ICRA), 5691-5698, 2014 | 70 | 2014 |
| See the glass half full: Reasoning about liquid containers, their volume and content R Mottaghi, C Schenck, D Fox, A Farhadi Proceedings of the IEEE International Conference on Computer Vision, 1871-1880, 2017 | 65 | 2017 |
| Perceiving and reasoning about liquids using fully convolutional networks C Schenck, D Fox The International Journal of Robotics Research 37 (4-5), 452-471, 2018 | 35 | 2018 |
| Interactive object recognition using proprioceptive feedback T Bergquist, C Schenck, U Ohiri, J Sinapov, S Griffith, A Stoytchev Proceedings of the 2009 IROS Workshop: Semantic Perception for Robot …, 2009 | 34 | 2009 |
| Reasoning about liquids via closed-loop simulation C Schenck, D Fox arXiv preprint arXiv:1703.01656, 2017 | 33 | 2017 |
| Towards learning to perceive and reason about liquids C Schenck, D Fox 2016 International Symposium on Experimental Robotics, 488-501, 2017 | 23 | 2017 |
| Detection and tracking of liquids with fully convolutional networks C Schenck, D Fox arXiv preprint arXiv:1606.06266, 2016 | 22 | 2016 |
| Which object fits best? solving matrix completion tasks with a humanoid robot C Schenck, J Sinapov, D Johnston, A Stoytchev IEEE Transactions on Autonomous Mental Development 6 (3), 226-240, 2014 | 18 | 2014 |
| Guided policy search with delayed sensor measurements C Schenck, D Fox arXiv preprint arXiv:1609.03076, 2016 | 8 | 2016 |
| The Object Pairing and Matching Task: Toward Montessori Tests for Robots C Schenck, A Stoytchev International Conference on Humanoid Robotics: Workshop on Developmental …, 2012 | 8 | 2012 |
| Which object comes next? Grounded order completion by a humanoid robot C Schenck, J Sinapov, A Stoytchev Cybernetics and Information Technologies 12 (3), 5-16, 2012 | 7 | 2012 |
| Intelligence tests for robots: Solving perceptual reasoning tasks with a humanoid robot C Schenck | 5 | 2013 |
| Liquids & robots: An investigation of techniques for robotic interaction with liquids C Schenck | 2 | 2018 |
| Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs HTL Chiang, Z Xu, Z Fu, MG Jacob, T Zhang, TWE Lee, W Yu, C Schenck, ... arXiv preprint arXiv:2407.07775, 2024 | | 2024 |
| Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs Z Xu, HTL Chiang, Z Fu, MG Jacob, T Zhang, TWE Lee, W Yu, C Schenck, ... 8th Annual Conference on Robot Learning, 0 | | |
Jivko SinapovAssistant Professor, Tufts UniversityVahvistettu sähköpostiosoite verkkotunnuksessa cs.tufts.edu
