Bionic Sensing with Artificial Lateral Line Systems for Fish-Like Underwater Robots
Object category:
Elektronische Ressource
Person/Institution:
Publisher:
Taylor & Francis Group
Ort:
Milton
Date:
2022
Language:
Englisch
Additional information
Abstract:
Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- CHAPTER 1: Introduction -- 1.1. RESEARCH BACKGROUND -- 1.2. DOCUMENT STRUCTURE -- CHAPTER 2: Fish Lateral Line Inspired Perception and Flow-Aided Control: A Review -- 2.1. INTRODUCTION -- 2.2. MECHANISMS AND MODELS OF THE FISH LATERAL LINE -- 2.3. THE EXISTING ALL SENSORS AND SYSTEMS -- 2.3.1. ALL Sensor Unit -- 2.3.1.1. Piezoresistive ALL Sensors -- 2.3.1.2. Piezoelectric ALL Sensors -- 2.3.1.3. Capacitive ALL Sensors -- 2.3.1.4. Optical ALL Sensors -- 2.3.1.5. Hot-Wire ALL Sensors -- 2.3.2. ALL Sensors Placement Optimization -- 2.4. HYDRODYNAMIC ENVIRONMENT SENSING AND VORTICES DETECTION -- 2.4.1. Flow Field Characteristics Identification -- 2.4.2. Flow Velocity and Direction Detection -- 2.4.3. Vortex Street Properties Detection -- 2.5. ALL-BASED DIPOLE SOURCE DETECTION -- 2.6. FLOW-AIDED CONTROL OF UNDERWATER ROBOTS USING ALL SYSTEM -- 2.6.1. Pattern Identification -- 2.6.2. Motion Parameters (Speed and Direction) Estimation and Control -- 2.6.3. Obstacles Detection and Avoidance -- 2.6.4. Neighborhood Robotic Fish Perception -- 2.7. DISCUSSION -- 2.8. CONCLUSION -- CHAPTER 3: Boxfish-Like Robot with an Artificial Lateral Line System -- 3.1. MULTI-FIN-ACTUATED BOXFISH-LIKE ROBOT -- 3.2. CAUDAL-FIN-ACTUATED BOXFISH-LIKE ROBOT -- CHAPTER 4: Online State Estimation of a Boxfish-Like Robot Using Artificial Lateral Line System -- 4.1. INTRODUCTION -- 4.2. MATERIALS AND METHODS -- 4.2.1. The Experimental Description -- 4.2.2. The Experimental Procedures -- 4.3. PRESSURE VARIATION MODEL -- 4.3.1. Theoretical Analysis for Hydrodynamic Pressure Variation -- 4.3.2. Pressure Variation Models for Multiple Motions of the Robotic Fish -- 4.3.3. Identification Process of the Model Parameters -- 4.3.4. Pressure Variation Model Based Motion Parameters Estimation.
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Created:
2023-04-12
Last changed:
2022-08-23
Added to portal:
2023-04-12
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