Ge LvDepartment of Mechanical Engineering Clemson University关注立即认领分享关注立即认领分享基本信息浏览量:0职业迁徙个人简介暂无内容研究兴趣论文共 19 篇作者统计合作学者相似作者按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选时间引用量主题期刊级别合作者合作机构Soft Robotics for Fall Mitigation: Preliminary Design and Evaluation of a Wearable System using Continuum Robots Param Malhotra, Nithesh Kumar,Chase Frazelle,Ian Walker,Ge Lvcrossref(2024)引用0浏览0引用00The Claw: An Avian-Inspired, Large Scale, Hybrid Rigid-Continuum Gripper Mary E. Stokes, John K. Mohrmann,Chase G. Frazelle,Ian D. Walker,Ge LvROBOTICSno. 3 (2024): 52引用0浏览0EI引用00Safety Augmentation for Volitional Human Locomotion via Lower-Limb Exoskeletons: A Case Study Miao Yu, Qin Lin,Ge LvIEEE Control Systems Lettersno. 99 (2024): 1-1引用0浏览0EIWOS引用00A Two-Layer Human-in-the-Loop Optimization Framework for Customizing Lower-Limb Exoskeleton Assistance Siqi Zheng,Ge Lv2023 AMERICAN CONTROL CONFERENCE, ACCpp.3913-3920, (2023)引用0浏览0EIWOS引用00Task-Invariant Centroidal Momentum Shaping for Lower-Limb Exoskeletons Miao Yu,Ge LvCDC(2022)引用0浏览0EIWOS引用00Trajectory-Free Control Of Lower-Limb Exoskeletons Through Underactuated Total Energy ShapingGe Lv,Jianping Lin,Robert D. GreggIEEE ACCESS(2021)引用6浏览0EIWOS引用60Optimal Task-Invariant Energetic Control for a Knee-Ankle ExoskeletonJianping Lin,Nikhil V. Divekar,Ge Lv,Robert D. GreggIEEE Control Systems Letters(2021)引用13浏览0EIWOS引用130A Task-Invariant Learning Framework of Lower-Limb Exoskeletons for Assisting Human LocomotionGe Lv,Haosen Xing,Jianping Lin,Robert D. Gregg,Christopher G. Atkeson2020 American Control Conference (ACC)(2020)引用5浏览0EIWOS引用50Decentralized Passivity-Based Control With a Generalized Energy Storage Function for Robust Biped LocomotionMark Yeatman,Ge Lv,Robert D GreggJournal of dynamic systems, measurement, and control(2019)引用11浏览0WOS引用110Energy Shaping Control With Virtual Spring And Damper For Powered ExoskeletonsJianping Lin,Nikhil Divekar,Ge Lv,Robert D. Gregg2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC)(2019)引用6浏览0EIWOS引用60加载更多作者统计合作学者合作机构D-Core合作者学生导师暂无相似学者,你可以通过学者研究领域进行搜索筛选数据免责声明页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn