Xinyu Feng

University of Southern California

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Lijing Wang

Affiliated Hospital of Hebei University

Ke Li

Southeast University

Dong‐Ho Lee

Hanyang University

Milad Tatari

Northeastern University

Kangmin Tan

University of Southern California

Soroush Kamrava

Northeastern University

Toshiyuki Sekiya

Sony (Taiwan)

Xiang Ren

University of Southern California

Xiaolei Qu

Beihang University

Jay Pujara

University of Southern California

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University of Southern California

Southern California University for Professional Studies

Northeastern University

Harbin Institute of Technology

Southern States University

Universidad del Noreste

University of Central Florida

Sony (Taiwan)

Harvard University

North China Electric Power University

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Color and Morphology Camouflaging using Biomimetic Scales

Advanced Intelligent Systems (2019)

Soroush Kamrava Milad Tatari Xinyu Feng Ranajay Ghosh Ashkan Vaziri

Due to obvious evolutionary advantages to both predator and prey, a rich gamut of camouflaging strategies exists in nature. Engineered camouflaging generally involves adapting bioinspired strategies to produce superior concealment and disguise in synthetic systems. Of special interest is dynamic, active camouflaging, which can rapidly conceal structures depending upon the background landscape. Herein, exciting advances are made by mimicking Cephalopod strategies. An alternative geometrically structured biomimetic scale‐based strategy, which is purely mechanical and simple but at the same time rapid, tailorable and tunable, and inherently multifunctional, is presented. Surfaces covered by biomimetic scales that are themselves covered by lenticular images are investigated. A concurrent programming strategy to tune surface morphology and color by controlling the angle of individual scales is introduced. As an example, a pneumatic design to control individual‐scale orientations using airflow, which enables both morphology and color camouflaging in less than a second, is demonstrated.

Biomimetics

Morphology

Gamut

10.1002/aisy.201900021

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Citations (4)

Autonomous Unmanned Vehicle Automatic Visual Tracking Based on SLAM and YOLO Algorithm

Lecture notes in electrical engineering (2024)

Xiaolei Qu Jiaxing Wang Xiulin Zhang Xinyu Feng Yang Du

Tracking (education)

10.1007/978-981-97-7139-4_73

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Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)

Dong‐Ho Lee Akshen Kadakia Kangmin Tan Mahak Agarwal Xinyu Feng

Dong-Ho Lee, Akshen Kadakia, Kangmin Tan, Mahak Agarwal, Xinyu Feng, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.

10.18653/v1/2022.acl-long.192

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Citations (49)