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Development of Flexible Robot Gripper Holding Deformation by Electromagnetic Brake
Tomohiro Kuwano,Takeshi Nishida 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
We developed a flexible robot gripper which holds the deformation of a flexible bag enclosing an object by a magnetic brake. Since the gripper has no fluid in the flexible bag, it is not susceptible to gravity during the gripping operation, and can grip the object in various postures. Also, there is no concern of liquid leakage, and most of the component parts can be easily manufactured by 3D printing. Furthermore, it can be operated by supplying power to the electromagnet brake without complex control.
Canonical Transient Receptor Potential Channels and Vascular Smooth Muscle Cell Plasticity
Motohiro Nishida,Tomohiro Tanaka,Supachoke Mangmool,Kazuhiro Nishiyama,Akiyuki Nishimura 한국지질동맥경화학회 2020 지질·동맥경화학회지 Vol.9 No.1
Vascular smooth muscle cells (VSMCs) play a pivotal role in the stability and tonic regulation of vascular homeostasis. VSMCs can switch back and forth between highly proliferative (synthetic) and fully differentiated (contractile) phenotypes in response to changes in the vessel environment. Abnormal phenotypic switching of VSMCs is a distinctive characteristic of vascular disorders, including atherosclerosis, pulmonary hypertension, stroke, and peripheral artery disease; however, how the control of VSMC phenotypic switching is dysregulated under pathological conditions remains obscure. Canonical transient receptor potential (TRPC) channels have attracted attention as a key regulator of pathological phenotype switching in VSMCs. Several TRPC subfamily member proteins—especially TRPC1 and TRPC6—are upregulated in pathological VSMCs, and pharmacological inhibition of TRPC channel activity has been reported to improve hypertensive vascular remodeling in rodents. This review summarizes the current understanding of the role of TRPC channels in cardiovascular plasticity, including our recent finding that TRPC6 participates in aberrant VSMC phenotype switching under ischemic conditions, and discusses the therapeutic potential of TRPC channels.
Masanao Obayashi,Tomohiro Nishida,Takashi Kuremoto,Kunikazu Kobayashi,Liang-Bing Feng 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
This paper concerns about a way of intellectualization of robots (called "agent" here). Human learns incidents by own actions and reflects them on the subsequent actions as own experiences. These experiences are memorized in his/her brain and recollected and reused if necessary. This research incorporates such an intelligent information processing mechanism, and applies it to an autonomous agent that has three main functions that is, learning, memorization and associative recollection. In the proposed system, an actor-critic type reinforcement learning method is used for learning. For memorization, we introduce the chaotic auto-associative model that is proposed by Chartier, and that is also used like mutual associative memory system. Moreover, to deal with the increase of information, the memory part has an adaptive hierarchical layered structure of the memory module that consists of chaotic neural networks, especially for multi-valued pattern. Finally, the effectiveness of this proposed method is verified through the simulation applied to the maze-searching problem.