Interactive object recognition using proprioceptive and auditory feedback. - Jivko Sinapov; Taylor Bergquist; Connor Schenck; Ugonna Ohiri; Shane Griffith; Alexander Stoytchev (Int. J. Robotics Res., 2011)

Learning relational object categories using behavioral exploration and multimodal perception. - Jivko Sinapov; Connor Schenck; Alexander Stoytchev (ICRA, 2014)

Grounding semantic categories in behavioral interactions: Experiments with 100 objects. - Jivko Sinapov; Connor Schenck; Kerrick Staley; Vladimir Sukhoy; Alexander Stoytchev (Robotics Auton. Syst., 2014)

Which Object Fits Best? Solving Matrix Completion Tasks with a Humanoid Robot. - Connor Schenck; Jivko Sinapov; David Johnston; Alexander Stoytchev (IEEE Trans. Auton. Ment. Dev., 2014)

Towards Learning to Perceive and Reason About Liquids. - Connor Schenck; Dieter Fox (ISER, 2016)

Detection and Tracking of Liquids with Fully Convolutional Networks. - Connor Schenck; Dieter Fox (CoRR, 2016)

Guided Policy Search with Delayed Senor Measurements. - Connor Schenck; Dieter Fox (CoRR, 2016)

Learning Robotic Manipulation of Granular Media. - Connor Schenck; Jonathan Tompson; Sergey Levine; Dieter Fox (CoRL, 2017)

See the Glass Half Full: Reasoning About Liquid Containers, Their Volume and Content. - Roozbeh Mottaghi; Connor Schenck; Dieter Fox; Ali Farhadi (ICCV, 2017)

Visual closed-loop control for pouring liquids. - Connor Schenck; Dieter Fox (ICRA, 2017)

Reasoning About Liquids via Closed-Loop Simulation. - Connor Schenck; Dieter Fox (Robotics: Science and Systems, 2017)

SPNets: Differentiable Fluid Dynamics for Deep Neural Networks. - Connor Schenck; Dieter Fox (CoRL, 2018)

Perceiving and reasoning about liquids using fully convolutional networks. - Connor Schenck; Dieter Fox (Int. J. Robotics Res., 2018)

Liquids & Robots: An Investigation of Techniques for Robotic Interaction with Liquids. - Connor Schenck (2018)

Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. - Zhuo Xu; Hao-Tien Lewis Chiang; Zipeng Fu; Mithun George Jacob; Tingnan Zhang; Tsang-Wei Edward Lee; Wenhao Yu 003; Connor Schenck; David Rendleman; Dhruv Shah; Fei Xia 002; Jasmine Hsu; et al. (CoRL, 2024)

Linear Transformer Topological Masking with Graph Random Features. - Isaac Reid; Kumar Avinava Dubey; Deepali Jain; William F. Whitney; Amr Ahmed 001; Joshua Ainslie; Alex Bewley; Mithun George Jacob; Aranyak Mehta; David Rendleman; Connor Schenck; Richard E. Turner; et al. (ICLR, 2025)

Learning the RoPEs: Better 2D and 3D Position Encodings with STRING. - Connor Schenck; Isaac Reid; Mithun George Jacob; Alex Bewley; Joshua Ainslie; David Rendleman; Deepali Jain; Mohit Sharma 001; Avinava Dubey; Ayzaan Wahid; Sumeet Singh; René Wagner; et al. (CoRR, 2025)