By editors, Yunhui Liu and Dong Sun.
"Based on a variety of shows from the 2009 IEEE foreign convention on Robotics and Biomimetics, this reference provides state-of-the-art learn within the box. The sixteen chapters, rewritten to incorporate additional aspect and research, conceal robot layout, micro/nano robots for bio-systems and biomedicine, and organic dimension and actuation. a bit on cybernetics can also be integrated. Written for graduate scholars and researchers up to the mark engineering and robotics, this article is helping readers comprehend learn tendencies, destiny improvement of bio-robotics, and biologically encouraged robotic layout. It features a wealth of figures and countless numbers of equations"--
"Biologically encouraged robotics is an interdisciplinary topic among robotics and biology that consists of how one can observe organic principles and phenomena to engineering difficulties in robotics (biomimetics), and the way to use robotics know-how to figuring out of organic platforms and their behaviors (bio-robotic modeling/analysis). The efforts in biologically encouraged robotics are usually not simply limited to investigate paintings in laboratories, their novel purposes also are being greatly explored in prone, schooling, rehabilitation, treatment and different sectors. the target of this publication is to introduce the newest efforts in study of biologically encouraged robotics, protecting either biomimetics (with chapters in biologically encouraged robotic layout and regulate, bio-sensing, bio-actuation, and micro/nano bio-robotic platforms) and bio-robotic modeling/analysis (discussing human hand movement reputation utilizing organic indications, modeling of human mind actions, characterization of mobilephone houses utilizing robot systems). to be able to supply readers a greater figuring out on association of this booklet, the content material is classed into 4 components: (1) biologically encouraged robotic layout and keep an eye on, (2) micro/nano bio-robotic structures, (3) organic dimension and actuation, and (4) purposes of robotics know-how to organic problems"-- Read more...
Introduction to Biologically encouraged Robotics; Yunhui Liu and Dong solar CPG-Based keep an eye on of Serpentine Locomotion of a Snake-Like robotic; Xiaodong Wu and Shugen Ma research and layout of a Bionic health Cycle; Jun Zhang, Ying Hu, Jianwei Zhang, Haiyang Jin, and Zhijian lengthy Human-Inspired Hyperdynamic Manipulation; Aiguo Ming and Chunquan Xu a faculty of robot Fish for pollutants Detection in Port; Huosheng Hu, John Oyekan, and Dongbing Gu improvement of a Low-Noise Bio-Inspired Humanoid robotic Neck; Bingtuan Gao, Ning Xi, Jianguo Zhao, and Jing Xu automated Single-Cell move Module; Huseyin Uvet, Akiyuki Hasegawa, Kenichi Ohara, Tomohito Takubo, Yasushi Mae, and Tatsuo Arai Biomechanical Characterization of Human crimson Blood Cells with Optical Tweezers; Youhua Tan, Dong solar, and Wenhao Huang Nanorobotic Manipulation for a unmarried organic telephone; Toshio Fukuda, Masahiro Nakajima, and Mohd Ridzuan Ahmad dimension of mind task utilizing Optical and electric equipment; Atsushi Saito, Alexsandr Ianov, and Yoshiyuki Sankai Bowel Polyp Detection in tablet Endoscopy photographs with colour and form positive aspects; Baopu Li and Max Q.-H. Meng category of Hand movement utilizing floor EMG indications; Xueyan Tang, Yunhui Liu, Congyi Lu, and Weilun Poon Multifunctional Actuators using Magnetorheological Fluids for Assistive Knee Braces; H. T. Guo and W. H. Liao Mathematical Modeling of mind Circuitry in the course of Cerebellar circulate keep an eye on; Henrik Jorntell, Per-Ola Forsberg, Fredrik Bengtsson, and Rolf Johansson improvement of Hand Rehabilitation method utilizing Wire-Driven hyperlink Mechanism for Paralysis sufferers; Hiroshi Yamaura1, Kojiro Matsushita, Ryu Kato, and Hiroshi Yokoi A try out surroundings for learning the Human-Likeness of robot Eye activities Index
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Extra resources for Biologically inspired robotics
Because the robot will slip more frequently with the increase of speed of motion, the frequency of locomotion cannot be set too high. 5, the snake‑like robot can exhibit a changed locomotion for obstacle avoid‑ ance. 15, when the robot encounters an obstacle, a command of turn motion can be sent to the CPG controller by the wireless module, and then an asymmetric locomotion is perform to avoid the obsta‑ cle. 16. In the experiments, a continuous locomotion curve of the snake‑like robot was performed during the transmission of angle sig‑ nals from the head joint to the tail joint.
13, the loco‑ motion curvature of the snake‑like robot changed with respect to the driving input u0. 14. It must be pointed out that, due to the limited the number of links in the snake‑like robot, the robot mechanism restricts the increment of the number of locomotive S‑shapes. 14 Movement with different numbers of S‑shapes: (a) motion trajectory with one S‑shape and (b) motion trajectory with two S‑shapes. of our ten‑link snake‑like robot is limited to two. Moreover, the method for changing motion speed by adjusting locomotion frequency was verified by experiment.
In the experiments, a continuous locomotion curve of the snake‑like robot was performed during the transmission of angle sig‑ nals from the head joint to the tail joint. 6 Summary In this chapter, a bio‑inspired system imitating the CPG neural network has been proposed as the control method for a snake‑like robot. 15 Experimental view of the snake‑like robot avoiding an obstacle with a turning motion. 16 Experimental view of the snake‑like robot avoiding an obstacle with a round motion. of the CPG output due to its uniform outputs with the same amplitude and specific phase difference.