Bio-inspired robotics / edited by Toshio Fukuda, Fei Chen, Qing Shi.

Format:

Book

Contributor:

Fukuda, Toshio, editor.

Chen, Fei, editor.

Shi, Qing, editor.

Language:

English

Subjects (All):

Robotics.

Physical Description:

1 online resource (554 pages)

Place of Publication:

Basel, Switzerland : MDPI, 2018.

Summary:

Modern robotic technologies have enabled robots to operate in a variety of unstructured and dynamically-changing environments, in addition to traditional structured environments. Robots have, thus, become an important element in our everyday lives. One key approach to develop such intelligent and autonomous robots is to draw inspiration from biological systems. Biological structure, mechanisms, and underlying principles have the potential to provide new ideas to support the improvement of conventional robotic designs and control. Such biological principles usually originate from animal or even plant models, for robots, which can sense, think, walk, swim, crawl, jump or even fly. Thus, it is believed that these bio-inspired methods are becoming increasingly important in the face of complex applications. Bio-inspired robotics is leading to the study of innovative structures and computing with sensory-motor coordination and learning to achieve intelligence, flexibility, stability, and adaptation for emergent robotic applications, such as manipulation, learning, and control. This Special Issue invites original papers of innovative ideas and concepts, new discoveries and improvements, and novel applications and business models relevant to the selected topics of ``Bio-Inspired Robotics''. Bio-Inspired Robotics is a broad topic and an ongoing expanding field. This Special Issue collates 30 papers that address some of the important challenges and opportunities in this broad and expanding field.

Contents:

About the Special Issue Editors

Toshio Fukuda, Fei Chen and Qing Shi Special Feature on Bio-Inspired Robotics Reprinted from: Appl. Sci. 2018, 8, 817, doi: 10.3390/app8050817

Xiong Yang, Haotian She, Haojian Lu, Toshio Fukuda and Yajing Shen State of the Art: Bipedal Robots for Lower Limb Rehabilitation Reprinted from: Appl. Sci. 2017, 7, 1182, doi: 10.3390/app7111182

Yue Hu and Katja Mombaur Bio-Inspired Optimal Control Framework to Generate Walking Motions for the Humanoid Robot iCub Using Whole Body Models Reprinted from: Appl. Sci. 2018, 8, 278, doi: 10.3390/app8020278

Xinyang Jiang and Qiang Huang Motion Planning for Bipedal Robot to Perform Jump Maneuver Reprinted from: Appl. Sci. 2018, 8, 139, doi: 10.3390/app8010139

Xizhe Zang, Yixiang Liu, Wenyuan Li, Zhenkun Lin and Jie Zhao Design and Experimental Development of a Pneumatic Stiffness Adjustable Foot System for Biped Robots Adaptable to Bumps on the Ground Reprinted from: Appl. Sci. 2017, 7, 1005, doi: 10.3390/app7101005

Giovanni Gerardo Muscolo, Darwin Caldwell and Ferdinando Cannella Calculation of the Center of Mass Position of Each Link of Multibody Biped Robots Reprinted from: Appl. Sci. 2017, 7, 724, doi: 10.3390/app7070724

Yixiang Liu, Xizhe Zang, Shuai Heng, Zhenkun Lin and Jie Zhao Human-Like Walking with Heel Off and Toe Support for Biped Robot Reprinted from: Appl. Sci. 2017, 7, 499, doi: 10.3390/app7050499

Takuya Otani, Kenji Hashimoto, Shunsuke Miyamae, Hiroki Ueta, Akira Natsuhara, Masanori Sakaguchi, Yasuo Kawakami, Hum-Ok Lim and Atsuo Takanishi Upper-Body Control and Mechanism of Humanoids to Compensate for Angular Momentum in the Yaw Direction Based on Human Running Reprinted from: Appl. Sci. 2018, 8, 44, doi: 10.3390/app8010044

Yinquan Zeng, Junmin Li, Simon X. Yang and Erwei Ren A Bio-Inspired Control Strategy for Locomotion of a Quadruped Robot Reprinted from: Appl. Sci. 2018, 8, 56, doi: 10.3390/app8010056

Kaixian Ba, Bin Yu, Zhengjie Gao, Wenfeng Li, Guoliang Ma and Xiangdong Kong Parameters Sensitivity Analysis of Position-Based Impedance Control for Bionic Legged Robots' HDU Reprinted from: Appl. Sci. 2017, 7, 1035, doi: 10.3390/app7101035

Yaguang Zhu, Long Chen, Qiong Liu, Rui Qin and Bo Jin Omnidirectional Jump of a Legged Robot Based on the Behavior Mechanism of a Jumping Spider Reprinted from: Appl. Sci. 2018, 8, 51, doi: 10.3390/app8010051

Scott Rubeo, Nicholas Szczecinski and Roger Quinn A Synthetic Nervous System Controls a Simulated Cockroach Reprinted from: Appl. Sci. 2018, 8, 6, doi: 10.3390/app8010006

Carlos Villaseñor, Jorge D. Rios, Nancy Arana-Daniel, Alma Y. Alanis and Esteban A. Hernandez-Vargas Germinal Center Optimization Applied to Neural Inverse Optimal Control for an All-Terrain Tracked Robot Reprinted from: Appl. Sci. 2018, 8, 31, doi: 10.3390/app8010031

Chengcheng Wang, Xiaofeng Liu, Xianqiang Yang, Fang Hu, Aimin Jiang and Chenguang Yang Trajectory Tracking of an Omni-Directional Wheeled Mobile Robot Using a Model Predictive Control Strategy Reprinted from: Appl. Sci. 2018, 8, 231, doi: 10.3390/app8020231

Haifei Zhu, Shichao Gu, Li He, Yisheng Guan and Hong Zhang Transition Analysis and Its Application to Global Path Determination for a Biped Climbing Robot Reprinted from: Appl. Sci. 2018, 8, 122, doi: 10.3390/app8010122

Alex Kai-Yuan Lo, Yu-Huan Yang, Tsen-Chang Lin, Chen-Wen Chu and Pei-Chun Lin Model-Based Design and Evaluation of a Brachiating Monkey Robot with an Active Waist Reprinted from: Appl. Sci. 2017, 7, 947, doi: 10.3390/app7090947

Filippo Sanfilippo, Jon Azpiazu, Giancarlo Marafioti, Aksel A. Transeth, Øyvind Stavdahl Perception-Driven Obstacle-Aided Locomotion for Snake Robots: The State of the Art, and Pål Liljebäck Challenges and Possibilities Reprinted from: Appl. Sci. 2017, 7, 336, doi: 10.3390/app7040336

Eleni Kelasidi, Mansoureh Jesmani, Kristin Y. Pettersen and Jan Tommy Gravdahl Locomotion Efficiency Optimization of Biologically Inspired Snake Robots Reprinted from: Appl. Sci. 2018, 8, 80, doi: 10.3390/app8010080

Kundong Wang, Wencan Gao and Shugen Ma Snake-Like Robot with Fusion Gait for High Environmental Adaptability: Design, Modeling, and Experiment Reprinted from: Appl. Sci. 2017, 7, 1133, doi: 10.3390/app7111133

Ikuo Yamamoto, Guiming Rong, Yoichi Shimomoto and Murray Lawn Numerical Simulation of an Oscillatory-Type Tidal Current Powered Generator Based on Robotic Fish Technology Reprinted from: Appl. Sci. 2017, 7, 1070, doi: 10.3390/app7101070

Gonca Ozmen Koca, Cafer Bal, Deniz Korkmaz, Mustafa Can Bingol, Mustafa Ay, Zuhtu Hakan Akpolat and Seda Yetkin Three-Dimensional Modeling of a Robotic Fish Based on Real Carp Locomotion Reprinted from: Appl. Sci. 2018, 8, 180, doi: 10.3390/app8020180

Huiming Xing, Shuxiang Guo, Liwei Shi, Yanlin He, Shuxiang Su, Zhan Chen and Xihuan Hou Hybrid Locomotion Evaluation for a Novel Amphibious Spherical Robot Reprinted from: Appl. Sci. 2018, 8, 156, doi: 10.3390/app8020156

Shuoxin Gu and Shuxiang Guo Performance Evaluation of a Novel Propulsion System for the Spherical Underwater Robot (SURIII) Reprinted from: Appl. Sci. 2017, 7, 1196, doi: 10.3390/app7111196

Emanuela Del Dottore, Alessio Mondini, Ali Sadeghi and Barbara Mazzolai Swarming Behavior Emerging from the Uptake-Kinetics Feedback Control in a Plant-Root-Inspired Robot Reprinted from: Appl. Sci. 2018, 8, 47, doi: 10.3390/app8010047

Josué Castañeda Cisneros, Saul E. Pomares Hernandez, Jose Roberto Perez Cruz, Lil María Rodríguez-Henríquez and Jesus A. Gonzalez Bernal Data-Foraging-Oriented Reconnaissance Based on Bio-Inspired Indirect Communication Aerial Vehicles Reprinted from: Appl. Sci. 2017, 7, 729, doi: 10.3390/app7070729

Caleb Fuller, and Joshua Schultz Characterization of Control-Dependent Variable Stiffness Behavior Muscle-Like Actuators Reprinted from: Appl. Sci. 2018, 8, 346, doi: 10.3390/app8030346

Zhongyuan Wang, Zhouyi Wang, Zhendong Dai and Stanislav N. Gorb Bio-Inspired Adhesive Footpad for Legged Robot Climbing under Reduced Gravity: Multiple Toes Facilitate Stable Attachment Reprinted from: Appl. Sci. 2018, 8, 114, doi: 10.3390/app8010114

Quansheng Jiang and Fengyu Xu Grasping Claws of Bionic Climbing Robot for Rough Wall Surface: Modeling and Analysis Reprinted from: Appl. Sci. 2018, 8, 14, doi: 10.3390/app8010014

Guanwu Jiang, Minzhou Luo, Keqiang Bai and Saixuan Chen A Precise Positioning Method for a Puncture Robot Based on a PSO-Optimized BP Neural Network Algorithm Reprinted from: Appl. Sci. 2017, 7, 969, doi: 10.3390/app7100969

Pu Duan, Zuoping Duan, Shilei Li and Yawen Chen Bio-Inspired Real-Time Prediction of Human Locomotion for Exoskeletal Robot Control Reprinted from: Appl. Sci. 2017, 7, 1130, doi: 10.3390/app7111130

Yanbing Jiang, Oluwarotimi Williams Samuel, Xueyu Liu, Xin Wang, Paul Oluwagbenga Idowu, Peng Li, Fei Chen, Mingxing Zhu, Yanjuan Geng, Fengxia Wu, Shixiong Chen and Guanglin Li Effective Biopotential Signal Acquisition: Comparison of Different Shielded Drive Technologies Reprinted from: Appl. Sci. 2018, 8, 276, doi: 10.3390/app8020276.

Notes:

CC BY-NC-ND

Description based on publisher supplied metadata and other sources.

ISBN:

9783038970460

3038970468

OCLC:

1154249861

Publisher Number:

10.3390/books978-3-03897-046-0