Literature DB >> 18037724

Biosonar-inspired technology: goals, challenges and insights.

Rolf Müller1, Roman Kuc.   

Abstract

Bioinspired engineering based on biosonar systems in nature is reviewed and discussed in terms of the merits of different approaches and their results: biosonar systems are attractive technological paragons because of their capabilities, built-in task-specific knowledge, intelligent system integration and diversity. Insights from the diverse set of sensing tasks solved by bats are relevant to a wide range of application areas such as sonar, biomedical ultrasound, non-destructive testing, sensors for autonomous systems and wireless communication. Challenges in the design of bioinspired sonar systems are posed by transducer performance, actuation for sensor mobility, design, actuation and integration of beamforming baffle shapes, echo encoding for signal processing, estimation algorithms and their implementations, as well as system integration and feedback control. The discussed examples of experimental systems have capabilities that include localization and tracking using binaural and multiple-band hearing as well as self-generated dynamic cues, classification of small deterministic and large random targets, beamforming with bioinspired baffle shapes, neuromorphic spike processing, artifact rejection in sonar maps and passing range estimation. In future research, bioinspired engineering could capitalize on some of its strengths to serve as a model system for basic automation methodologies for the bioinspired engineering process.

Mesh:

Year:  2007        PMID: 18037724     DOI: 10.1088/1748-3182/2/4/S04

Source DB:  PubMed          Journal:  Bioinspir Biomim        ISSN: 1748-3182            Impact factor:   2.956


  2 in total

1.  Bio-Inspired Covert Active Sonar Strategy.

Authors:  Jiajia Jiang; Xianquan Wang; Fajie Duan; Chunyue Li; Xiao Fu; Tingting Huang; Lingran Bu; Ling Ma; Zhongbo Sun
Journal:  Sensors (Basel)       Date:  2018-07-26       Impact factor: 3.576

2.  Avoidance of non-localizable obstacles in echolocating bats: A robotic model.

Authors:  Carl Bou Mansour; Elijah Koreman; Jan Steckel; Herbert Peremans; Dieter Vanderelst
Journal:  PLoS Comput Biol       Date:  2019-12-19       Impact factor: 4.475

  2 in total

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