Christopher Grebe

Learning to Detect Slip with Barometric Tactile Sensors and a Temporal Convolutional Neural Network

Feb 19, 2022
Abhinav Grover , Philippe Nadeau , Christopher Grebe , Jonathan Kelly

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* To appear in Proceedings of the IEEE International Conference on Robotics and Automation 2022. arXiv admin note: substantial text overlap with arXiv:2103.13460

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Observability-Aware Trajectory Optimization: Theory, Viability, and State of the Art

Sep 18, 2021
Christopher Grebe , Emmett Wise , Jonathan Kelly

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* To appear at the 2021 IEEE International Conference on Multisensor Fusion and Integration (MFI 2021)

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A Question of Time: Revisiting the Use of Recursive Filtering for Temporal Calibration of Multisensor Systems

Jun 01, 2021
Jonathan Kelly , Christopher Grebe , Matthew Giamou

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* Submitted to the 2021 IEEE International Conference on Multisensor Fusion and Integration (MFI 2021)

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Under Pressure: Learning to Detect Slip with Barometric Tactile Sensors

Mar 24, 2021
Abhinav Grover , Christopher Grebe , Philippe Nadeau , Jonathan Kelly

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* Submitted to the IEEE/RSJ International Conference on Intelligent Robotics and Systems (IROS'21), Prague, Czech Republic, Sept 27- Oct 1, 2021

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A Continuous-Time Approach for 3D Radar-to-Camera Extrinsic Calibration

Mar 12, 2021
Emmett Wise , Juraj Peršić , Christopher Grebe , Ivan Petrović , Jonathan Kelly

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* 7 pages, 5 figures, Accepted to the International Conference on Robotics and Automation (ICRA'21), Xi'an, China, May 30 - June 5, 2021

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Christopher Grebe

Learning to Detect Slip with Barometric Tactile Sensors and a Temporal Convolutional Neural Network

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Observability-Aware Trajectory Optimization: Theory, Viability, and State of the Art

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A Question of Time: Revisiting the Use of Recursive Filtering for Temporal Calibration of Multisensor Systems

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Under Pressure: Learning to Detect Slip with Barometric Tactile Sensors

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A Continuous-Time Approach for 3D Radar-to-Camera Extrinsic Calibration

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