http://proceedings.mlr.press/v78/schenck17a.html WebConnor R Schenck Thirdwave Automation Senior Machine Learning Software Engineer connor[dot] schenck [at] gmail[dot] com Research Interests: Artificial Intelligence …
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WebConnor Schenck A thesis submitted to the graduate faculty in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Major: Computer Science and Human-Computer Interaction Program of Study Committee: Alexander Stoytchev, Major Professor Vasant Honavar Jonathan Kelly Iowa State University WebConnor Schenck, Jonathan Tompson, Sergey Levine, Dieter Fox Proceedings of the 1st Annual Conference on Robot Learning , PMLR 78:239-248, 2024. Abstract In this paper, we examine the problem of robotic manipulation of granular media. We evaluate multiple predictive models used to infer the dynamics of scooping and dumping actions.
WebJun 20, 2016 · Authors: Connor Schenck, Dieter Fox. Download PDF Abstract: Recent advances in AI and robotics have claimed many incredible results with deep learning, yet no work to date has applied deep learning to the problem of liquid perception and reasoning. In this paper, we apply fully-convolutional deep neural networks to the tasks of detecting … WebTowards Learning to Perceive and Reason About Liquids. Recent advances in AI and robotics have claimed many incredible results ... 0 Connor Schenck, et al. ∙. share. …
WebConnor Schenck. Thirdwave Automation. Verified email at thirdwave.ai - Homepage. ... J Sinapov, C Schenck, K Staley, V Sukhoy, A Stoytchev. Robotics and Autonomous Systems 62 (5), 632-645, 2014. 83: 2014: Interactive object recognition using proprioceptive and auditory feedback. WebConnor Schenck. Thirdwave Automation. Verified email at thirdwave.ai - Homepage. ... J Sinapov, C Schenck, K Staley, V Sukhoy, A Stoytchev. Robotics and Autonomous …
WebOct 30, 2024 · Connor Schenck, University of Washington, AC101, Paul G. Allen Center for Computer Science & Engineering, 185 Stevens Way, Seattle, WA 98195, USA Corresponding Author: Connor Schenck, Paul G. Allen School for Computer Science & Engineering, University of Washington, Seattle, WA, USA.
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