{"id":105519,"date":"2025-01-27T08:31:19","date_gmt":"2025-01-27T14:31:19","guid":{"rendered":"https:\/\/engineering.wisc.edu\/?post_type=tribe_events&p=105519"},"modified":"2025-01-30T08:36:57","modified_gmt":"2025-01-30T14:36:57","slug":"high-resolution-tactile-sensing-for-robotic-manipulation","status":"publish","type":"tribe_events","link":"https:\/\/engineering.wisc.edu\/event\/high-resolution-tactile-sensing-for-robotic-manipulation\/","title":{"rendered":"High-resolution Tactile Sensing for Robotic Manipulation\u00a0"},"content":{"rendered":"
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\n\t\t\n\t\t\tFebruary 7\t\t<\/span>\n\n\t\t\t\t\t\n\t\t\t\t @ \t\t\t<\/span>\n\t\t\t\n\t\t\t\t12:00 PM\t\t\t<\/span>\n\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t – \t\t\t\t<\/span>\n\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t1:00 PM\t\t\t\t<\/span>\n\t\t\t\n\t\t\t\t\t\t<\/h2>\n<\/div>\n\n\n\n

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In the quest to enable robots to perform everyday tasks in unstructured environments, tactile sensing plays a crucial role. Tasks that benefit from refined tactile perception include industrial manufacturing, domestic chores, and the care of elderly individuals. However, high fidelity tactile sensing remains a challenge within the community. Our lab has made strides in the high-resolution tactile sensors and perception algorithms respond to this challenge. This seminar will showcase several prototypes designed to improve robotic manipulation through advanced tactile feedback. We will introduce the GelSight Wedge, a compact tactile sensor optimized for grasping in cluttered spaces, and VisTac, a sensor that integrates visual and tactile inputs for precise object localization, grasping, and insertion. Additionally, we will present VibTac, a sensor combining acoustic and vision-based tactile sensing for processing audio and vibration signals. Build upon the rich feedback, we explore diverse robotic manipulation tasks such as robot cable manipulation and dexterous in-hand manipulation. Our work aims to equip robots with the autonomy to intelligently perform a wide range of tasks, moving us closer to a future where robots seamlessly integrate into daily life. <\/p>\n\n\n

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1163 Mechanical Engineering<\/a><\/h3>\n\t<\/div>\n\n\t\n\t\t\t
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\n\t\tMadison<\/span>,<\/span>\n\n\tWI<\/abbr>\n\n\t53706<\/span>\n\n\tUnited States<\/span>\n\n<\/span>\n\n\t\t\t\t\t<\/address>\n\t\n\t\n\t\t\tView Venue Website<\/a><\/span>
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Bio:<\/strong> Dr. Yu She is an assistant professor at Purdue University Edwardson School of Industrial Engineering. Prior to that, he was a postdoctoral researcher in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT from 2018 to 2021. He earned his PhD degree in the Department of Mechanical Engineering at the Ohio State University in 2018. His research is at the intersection of mechanism design, tactile sensing, intelligent control, and robot learning.<\/p>\n\n\n\n

He is a recipient of the Showalter Early Investigator Award (2024) and the Google Research Scholar Award (2022) and multiple paper recognitions, including the Best Paper Award Finalist for the 2020 ASME Journal of Mechanisms and Robotics, the Best Paper Award Finalist at the 2020 Robotics: Science and Systems (RSS) Conference, the Best Paper Award at the 2018 ASME Dynamic Systems & Control Conference (DSCC), and the Best Paper Award Finalist at the 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).<\/p>\n\n\n\n\n\t

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