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About

Huan Lin is a robotics researcher whose work has significantly advanced the field of robotic manipulation, particularly in the challenging domain of grasping and handling deformable objects. His most influential contributions center on developing intelligent strategies that enable robotic hands to interact with soft, compliant materials — a problem long considered computationally intractable and mechanically complex. Lin's landmark paper, "Picking up a soft 3D object by 'feeling' the grip" (2015, 57 citations), introduced a biologically inspired approach in which a robotic hand mimics human squeezing behavior to assess liftability before attempting to grasp a deformable object. Complementing this, his 2014 work on squeeze grasping and stick/slip analysis (46 citations) addressed fundamental challenges including changing wrench spaces and evolving contact areas during deformation. Together, these papers established a rigorous theoretical and practical framework for soft-object manipulation that has influenced subsequent robotics research worldwide. Beyond grasping, Lin has explored dynamic tasks such as batting flying objects to targeted locations and applied his expertise to real-world automation, including designing a 3D camera-integrated drug sorting system for hospital pharmacies. His body of work reflects a researcher committed to bridging theoretical elegance with practical robotic applications.