Biosonar Characterization of Microhabitats for Rhinolophid & Hipposiderid Bats in Brunei
Abstract
The problem of sonar-based navigation and target detection/identification in cluttered environments has yet tobe solved by technical sonar. However, the biosonar systems of bat species that navigate and hunt in dense vegetation demonstrates that successful sonarl sonar. However, the biosonar systems of bat species that navigate and hunt in densevegetation demonstrates that successful sonar operation in heavily cluttered environments is possible. We hypothesize that the superior performance of bat biosonar when compared operation in heavily cluttered environments is possible. Wehypothesize that the superior performance of bat biosonar when compared to state-of-the-art engineered sonar is due to the following three principles: (i) a heavy reliance on encoding of sensory informat to state-of-the-art engineeredsonar is due to the following three principles: (i) a heavy reliance on encoding of sensory information in theacoustic domain, (ii) powerful neural mechanisms for signal processing and associated higher-level/cognitive functions, aion in theacoustic domain, (ii) powerful neural mechanisms for signal processing and associated higher-level/cognitivefunctions, and (iii) adaptive behavioral strategies in which the animals control their flight trajectories and pulse/pulse train characteristicsnd (iii) adaptive behavioral strategies in which the animals control their flight trajectories andpulse/pulse train characteristics according to their microhabitats and behavioral goals. The current proposal is aimed at the third principle, i.e., the adaptive int according to their microhabitats and behavioral goals. The current proposal isaimed at the third principle, i.e., the adaptive integration of bat flight patterns and related biosonar behaviors into the animals natural environments. Of particular interest are thegration of bat flight patterns and related biosonar behaviorsinto the animals natural environments. Of particular interest are the Old World bats in the familieshipposideridae and rhinolophidae. These bats use highly sophisticated sonar to navigate and hunt ine Old World bats in the familieshipposideridae and rhinolophidae. These bats use highly sophisticated sonar to navigate and hunt in cluttered forest environments. The research to uncover and characterize the microhabitats that rhinolophid and hipposiderid bats us clutteredforest environments. The research to uncover and characterize the microhabitats that rhinolophid andhipposiderid bats use for navigation and hunting will include: compiling a list of known roosts of these batspecies in Brunei (Borneo), following indive for navigation and hunting will include: compiling a list of known roosts of these batspecies in Brunei (Borneo), following individual bats using radiotelemetry, characterizing the microenvironment of the bats hunting ground using microphone arrays and LIDAR.idual bats using radiotelemetry, characterizing the microenvironmentof the bats hunting ground using microphone arrays and LIDAR. In addition to collecting the field data, theteam will be looking into 3D modeling and reconstructing the external habitat in a 3D In addition to collecting the field data, theteam will be looking into 3D modeling and reconstructing the external habitat in a 3D computer environment in order to study the various other options of the path trajectories an computer environment inorder to study the various other options of the path trajectories and sonar responses by changing the 3D model parameters. Subsequently, data analytics and artificial intelligence methodologies will be used to inform on how to construct a bat robotic environment.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2020
- Source ID
- N629092012045
Entities
People
- Ulmar Grafe
Organizations
- Office of Naval Research
- United States Navy