期刊
SENSORS
卷 20, 期 10, 页码 -出版社
MDPI
DOI: 10.3390/s20102958
关键词
biosonar; predictive tracking; tracking algorithms
资金
- National Science Foundation Graduate Research Fellowship [GRFP 2018261398]
- Human Frontiers Science Program Fellowship [LT000220/2018]
- NSF Brain Initiative [NCS-FO 1734744]
- AFOSR [FA9550-14-1-0398NIFTI]
- ONR [N00014-17-1-2736]
Target tracking and interception in a dynamic world proves to be a fundamental challenge faced by both animals and artificial systems. To track moving objects under natural conditions, agents must employ strategies to mitigate interference and conditions of uncertainty. Animal studies of prey tracking and capture reveal biological solutions, which can inspire new technologies, particularly for operations in complex and noisy environments. By reviewing research on target tracking and interception by echolocating bats, we aim to highlight biological solutions that could inform new approaches to artificial sonar tracking and navigation systems. Most bat species use wideband echolocation signals to navigate dense forests and hunt for evasive insects in the dark. Importantly, bats exhibit rapid adaptations in flight trajectory, sonar beam aim, and echolocation signal design, which appear to be key to the success of these animals in a variety of tasks. The rich suite of adaptive behaviors of echolocating bats could be leveraged in new sonar tracking technologies by implementing dynamic sensorimotor feedback control of wideband sonar signal design, head, and ear movements.
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