Max Robotics — Global Service Robot Directory + US Certification

About

Lin Nie’s research bridges the frontiers of soft robotics and computer vision, with a focus on bio-inspired micro-robots and egocentric hand-object interaction. In early work, Nie pioneered the use of Ionic Conducting Polymer Film (ICPF) to develop a novel tortoise-like flexible micro-robot capable of crawling and swimming underwater, analyzing the swing dynamics of its tail and the deformation characteristics of ICPF under electric fields—foundational contributions to soft, low-voltage actuation. More recently, Nie has shifted to pose estimation for egocentric hand interactions with objects, co-authoring a 2024 benchmark study that addresses the critical challenge of reconstructing 3D hand-object interactions from first-person views. This work, already garnering 10 citations, provides standardized datasets and evaluation protocols for AR/VR, robotics, and action recognition. With a total of over 14 citations across key publications, Nie’s trajectory from micro-robot dynamics to egocentric vision demonstrates a versatile ability to tackle complex, interdisciplinary problems. Their contributions to both soft robotics and computer vision highlight a sustained commitment to advancing human-robot interaction and embodied AI.