Biologically Inspired and Rehabilitation Robotics by Liwei Shi, Yong Yu, Nan Xiao, Dongming Gan

Get full text

Biologically Inspired Robotics 2016 by Liwei Shi, Maki Habib, Nan Xiao, Huosheng Hu

Get full text

Soft Robotics: Biological Inspiration, State of the Art, and Future Research by Deepak Trivedi, Christopher D. Rahn, William M. Kier, Ian D. Walker

“…This paper discusses the novel capabilities of soft robots, describes examples from nature that provide biological inspiration, surveys the state of the art and outlines existing challenges in soft robot design, modelling, fabrication and control.…”
Get full text

Biologically Inspired Spatial–Temporal Perceiving Strategies for Spiking Neural Network by Yu Zheng, Jingfeng Xue, Jing Liu, Yanjun Zhang

Get full text

Terminological Resources for Biologically Inspired Design and Biomimetics: Evaluation of the Potential for Ontology Reuse by Dilek Yargan, Ludger Jansen

“…This paper examines nine resources for Biologically Inspired Design and biomimetics, including taxonomies, thesauri, and ontologies. …”
Get full text

Rolling Locomotion Control of a Biologically Inspired Quadruped Robot Based on Energy Compensation by Takuma Nemoto, Rajesh Elara Mohan, Masami Iwase

“…We have developed a biologically inspired reconfigurable quadruped robot which can perform walking and rolling locomotion and transform between walking and rolling by reconfiguring its legs. …”
Get full text

A Reconfigurable and Biologically Inspired Paradigm for Computation Using Network-On-Chip and Spiking Neural Networks by Jim Harkin, Fearghal Morgan, Liam McDaid, Steve Hall, Brian McGinley, Seamus Cawley

Get full text

A Biologically Inspired and Protein-Based Bio-Cyber Interface for the Internet of Bio-Nano Things by Pit Hofmann, Juan A. Cabrera, Gunnar Schulte, Frank H.P. Fitzek

“…Furthermore, we survey the existing literature of biologically inspired BCIs and outline potential use cases and benefits of integrating BCIs in the IoBNT for various domains, such as healthcare and environmental monitoring.…”
Get full text

Biology-Inspired Robust Dive Plane Control of Non-Linear AUV Using Pectoral-Like Fins by Subramanian Ramasamy, Sahjendra N. Singh

Get full text

ARM-Cortex M3-Based Two-Wheel Robot for Assessing Grid Cell Model of Medial Entorhinal Cortex: Progress towards Building Robots with Biologically Inspired Navigation-Cognitive Maps by J. Cuneo, L. Barboni, N. Blanco, M. del Castillo, J. Quagliotti

“…It is considered that the results of this work provide an insight into achieving an enhanced embedded systems design for emulating and understanding mathematical neural network models to be used as biologically inspired navigation system for robots.…”
Get full text

Cervical mucus in linked human Cervix and Vagina Chips modulates vaginal dysbiosis by Ola Gutzeit, Aakanksha Gulati, Zohreh Izadifar, Anna Stejskalova, Hassan Rhbiny, Justin Cotton, Bogdan Budnik, Sanjid Shahriar, Girija Goyal, Abidemi Junaid, Donald E. Ingber

Get full text

Comparative evaluation of cell-based assay technologies for scoring drug-induced condensation of SARS-CoV-2 nucleocapsid protein by Rui Tong Quek, Cyna R. Shirazinejad, Christina L. Young, Kierra S. Hardy, Samuel Lim, Phillip J. Elms, David T. McSwiggen, Timothy J. Mitchison, Pamela A. Silver

Get full text

Comprehensive multi-metric analysis of user experience and performance in adaptive and non-adaptive lower-limb exoskeletons. by Krongkaew Supapitanon, Tanyaporn Patathong, Chaicharn Akkawutvanich, Arthicha Srisuchinnawong, Worachit Ketrungsri, Poramate Manoonpong, Patarawan Woratanarat, Chanika Angsanuntsukh

“…Among control methods for robotic exoskeletons, biologically inspired control based on central pattern generators (CPGs) offer a promising approach to generate natural and robust walking patterns. …”
Get full text

Application of Bat Algorithm for Transport Network Design Problem by Sweta Srivastava, Sudip Kumar Sahana

“…Soft computing techniques like Genetic Algorithms, Ant Colony Optimization, and many other biologically inspired techniques prove to give good results for bilevel problems. …”
Get full text

Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization by Peng Wang, Zhouquan Zhu, Shuai Huang

“…This paper presents a novel biologically inspired metaheuristic algorithm called seven-spot ladybird optimization (SLO). …”
Get full text

Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution Approach by Ossama Abdelkhalik

“…The biologically inspired concept of hidden genes has been recently introduced in genetic algorithms to solve optimization problems where the number of design variables is variable. …”
Get full text

Research on neuromorphic vision sensor and its applications by Yongsheng SANG, Renhao LI, Yaoqian LI, Qiangwei WANG, Yao MAO

“…Neuromorphic vision sensor is a biologically inspired artificial neural system that mimics algorithmic behavior of biological vision systems,which has numerous advantages over standard vision sensors,such as high temporal resolution,low latency,low power,high dynamic range,etc.At first,a brief introduction to neuromorphic engineering,neuromorphic chips,and vision sensors was given.Then the main computing methods for neuromorphic vision were reviewed,including probability and statistics,spiking neural network and deep neural network.Finally,several kinds of applications based on neuromorphic vision sensors were given,such as simultaneous localization and mapping (SLAM),image reconstruction (IR),etc.A review of hardware,computing methods and applications for neuromorphic vision sensors was given,which provided a comprehensive reference for researchers.…”
Get full text

Finite element approximation of a population spatial adaptation model by Gonzalo Galiano, Julián Velasco

“…Finally, we provied the results of some biologically inspired numerical experiments showing qualitative differences between the original model of [18] and the model proposed in this article.…”
Get full text

Multisensory integration operates on correlated input from unimodal transient channels by Cesare V Parise, Marc O Ernst

“…To account for the present results, we developed a biologically inspired, general-purpose model for multisensory integration, the multisensory correlation detectors, which combines correlated input from unimodal transient channels. …”
Get full text

Noise-Assisted Concurrent Multipath Traffic Distribution in Ad Hoc Networks by Narun Asvarujanon, Kenji Leibnitz, Naoki Wakamiya, Masayuki Murata

“…The concept of biologically inspired networking has been introduced to tackle unpredictable and unstable situations in computer networks, especially in wireless ad hoc networks where network conditions are continuously changing, resulting in the need of robustness and adaptability of control methods. …”
Get full text