Publications

(2024). Simulation-Assisted Learning for Efficient Bin-Packing of Deformable Packages in a Bimanual Robotic Cell. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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(2023). Physics-Informed Learning to Enable Robotic Screw-Driving Under Hole Pose Uncertainties. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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(2023). Inverse Reinforcement Learning Framework for Transferring Task Sequencing Policies from Humans to Robots in Manufacturing Applications. IEEE International Conference in Robotics and Automation.

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(2022). Physics Informed Synthetic Image Generation for Deep Learning based detection of wrinkles and folds. ASME Journal of Computing and Information Science in Engineering.

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(2022). Synthetic image-assisted deep learning framework for detecting defects during composite sheet layup. ASME IDETC-CIE Conference, 2022.

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(2022). Visual servo-based trajectory planning for fast and accurate sheet pick and place operations. ASME Manufacturing Science and Engineering Conference.

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(2021). A Simulation-Based Grasp Planner for Enabling Robotic Grasping during Composite Sheet Layup. IEEE International Conference in Robotics and Automation.

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(2021). A Digital Twin for Automated Layup of Prepreg Composite Sheets. ASME Journal of Manufacturing Science and Engineering.

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(2021). Toolpath Generation for Robot Filleting. Internatoinal Conference on Advanced Surface Enhancement.

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(2021). A Digital Twin for Automated Layup of Prepreg Composite Sheets. ASME Manufacturing Science and Engineering Conference.

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(2021). An adaptive framework for robotic polishing based on impedance control. The International Journal of Advanced Manufacturing Technology.

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(2019). In-process virtual verification of weld seam removal in robotic abrasive belt grinding process using deep learning. Robotics and Computer-Integrated Manufacturing.

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(2018). An AWS Machine Learning-Based Indirect Monitoring Method for Deburring in Aerospace Industries Towards Industry 4.0. Applied Sciences.

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