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Matthew Johnson-Roberson

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Diagrammatic Instructions to Specify Spatial Objectives and Constraints with Applications to Mobile Base Placement

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Mar 25, 2024
Qilin Sun, Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson

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DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark

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Mar 16, 2024
Tianyi Zhang, Kaining Huang, Weiming Zhi, Matthew Johnson-Roberson

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V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes

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Mar 14, 2024
Herbert Wright, Weiming Zhi, Matthew Johnson-Roberson, Tucker Hermans

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Customizable Perturbation Synthesis for Robust SLAM Benchmarking

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Feb 12, 2024
Xiaohao Xu, Tianyi Zhang, Sibo Wang, Xiang Li, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Xiaonan Huang

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Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

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Dec 15, 2023
Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Shibo Zhao, Yu Quan Chong, Chen Wang, Katia Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian Scherer, Zsolt Kira, Fei Xia, Yonatan Bisk

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Learning from Demonstration via Probabilistic Diagrammatic Teaching

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Sep 19, 2023
Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson

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Learning Orbitally Stable Systems for Diagrammatically Teaching

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Sep 19, 2023
Weiming Zhi, Kangni Liu, Tianyi Zhang, Matthew Johnson-Roberson

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Reasoning about the Unseen for Efficient Outdoor Object Navigation

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Sep 18, 2023
Quanting Xie, Tianyi Zhang, Kedi Xu, Matthew Johnson-Roberson, Yonatan Bisk

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