Shuangyu Xie
Ph.D. student @ TAMU
I am a Postdoctoral researcher in the AUTOLab at UC Berkeley, working with Prof. Ken Goldberg. Prior to joining UC Berkeley, I obtained my Ph.D. and M.S. degree from Texas A&M University, advised by Prof. Dezhen Song.
My research interests encompass both theoretical and applied aspects of robotics, including active perception, dynamic scene understanding in structured and unstructured outdoor environments with uncertainties, as well as 3D scene understanding and reconstruction. Currently, my work focuses on developing probabilistic dynamic scene representations in sensor space and designing active perception-guided planning algorithms for mobile manipulators and agricultural robots.
news
Jun 6, 2024 | Our new work on dynamic image intrinsic estimation is accepted by CASE 2024: Dynamic Intrinsic Parameter Rectification Network for Cameras with Optical Image Stabilization in Desktop Augmented Reality Applications |
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Jan 30, 2024 | Our new work on mobile manipulator planning for precison argiculture is accepted by ICRA 2024: Coupled Active Perception and Manipulation Planning for a Mobile Manipulator in Precision Agriculture Applications |
Jul 24, 2023 | We won GM/SAE Autodrive Challenge First Place (year 2)! More infomation about our team. |
selected publications
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Coupled Active Perception and Manipulation Planning for a Mobile Manipulator in Precision Agriculture ApplicationsInternational Conference on Robotics and Automation (ICRA), 2024
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System and Algorithm for Robotic Weed Flaming Using a Quadruped Robot and a 6-Axis ManipulatorInternational Conference on Intelligent Robots and Systems (IROS), 2024
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Dynamic Intrinsic Parameter Rectification Network for Cameras with Optical Image Stabilization in Desktop Augmented Reality ApplicationsIEEE International Conference on Automation Science and Engineering (CASE), 2024
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A Pretouch Perception Algorithm for Object Material and Structure Mapping to Assist Grasp and Manipulation Using a DMDSM SensorInternational Conference on Intelligent Robots and Systems (IROS), 2023
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Algorithm and System Development for Robotic Micro-Volume Herbicide Spray Towards Precision Weed ManagementIEEE Robotics and Automation Letters, 2022
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Toward Robotic Weed Control: Detection of Nutsedge Weed in Bermudagrass Turf Using Inaccurate and Insufficient Training DataIEEE Robotics and Automation Letters, 2021