This study primarily focuses on developing a lobster tail-inspired soft actuator with high output force. Based on this actuator, a soft hand rapid traction robot that meets the personalized needs of hand spasticity is further developed, providing a new technical means for spasticity relief. Meanwhile, the study explores the variation patterns of sensorimotor cortex activity in healthy individuals and patients with hand spasticity under the action of different traction parameters. Additionally, a clinical experimental protocol for hand rapid traction is formulated based on the maximum activation of the sensorimotor cortex, aiming to investigate the effectiveness of the hand rapid traction method in relieving spasticity.
Dr. Long Cheng is a Research Fellow and Doctoral Supervisor at the Institute of Automation, Chinese Academy of Sciences (CAS), and a Position Professor at the University of Chinese Academy of Sciences. He is an IEEE/IET/CAA Fellow.
Currently, he serves as the Chair of the IEEE Computational Intelligence Society (CIS) Beijing Chapter, and is an Associate Editor for domestic and international journals including IEEE Transactions on Cybernetics, IEEE Transactions on Automation Science and Engineering, Science China Technological Sciences, and Acta Automatica Sinica.
Dr. Cheng has been awarded funding from the National Science Fund for Distinguished Young Scholars and the Beijing Municipal Science Fund for Distinguished Young Scholars. He also received the Second Class Award of the National Natural Science Award in 2017. His research interests include robotics and intelligent control.
面向快速牵拉的仿龙虾尾软体机器人设计
本研究主要通过研制一种输出力大的仿龙虾尾软体驱动器,基于此,研制一种满足手部痉挛个性化需求的软体手部快速牵拉机器人,为痉挛的缓解提供一种新的技术手段,同时,探究不同牵拉参数作用时健康人和手部痉挛患者感觉运动皮质活动的变化规律,并基于感觉运动皮质激活最大制定手部快速牵拉的临床实验方案,探究手部快速牵拉方法对痉挛缓解的有效性。
程龙博士,中国科学院自动化研究所研究员,博士生导师,中国科学院大学岗位教授,IEEE/IET/CAA Fellow。目前受聘IEEE CIS Beijing Chapter主席,担任《IEEE Transactions on Cybernetics》、《IEEE Transactions on Automation Science and Engineering》、《中国科学技术科学》、《自动化学报》等国内外刊物的编委。入选国家杰出青年基金项目、北京市杰出青年基金。获得2017年度国家自然科学二等奖。程龙博士的研究兴趣包括机器人与智能控制。
