Inventing a Biologically Inspired, Energy-Efficient Micro Aerial Vehicle

2014 ◽  
pp. 1385-1413
Author(s):  
Jayant Ratti ◽  
George J. Vachtsevanos
Keyword(s):  
Energy Efficient ◽  
Biologically Inspired ◽  
Micro Aerial Vehicle ◽  
Aerial Vehicle

scholarly journals Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs

Drones ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 127
Author(s):  
Wamiq Raza ◽  
Anas Osman ◽  
Francesco Ferrini ◽  
Francesco De Natale
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Data Security ◽  
Energy Efficient ◽  
Cost Effective ◽  
Practical Application ◽  
Flight Duration ◽  
Micro Aerial Vehicle ◽  
Aerial Vehicle ◽  
Crowded Environment ◽  
Mission Objective

In recent years, the proliferation of unmanned aerial vehicles (UAVs) has increased dramatically. UAVs can accomplish complex or dangerous tasks in a reliable and cost-effective way but are still limited by power consumption problems, which pose serious constraints on the flight duration and completion of energy-demanding tasks. The possibility of providing UAVs with advanced decision-making capabilities in an energy-effective way would be extremely beneficial. In this paper, we propose a practical solution to this problem that exploits deep learning on the edge. The developed system integrates an OpenMV microcontroller into a DJI Tello Micro Aerial Vehicle (MAV). The microcontroller hosts a set of machine learning-enabled inference tools that cooperate to control the navigation of the drone and complete a given mission objective. The goal of this approach is to leverage the new opportunistic features of TinyML through OpenMV including offline inference, low latency, energy efficiency, and data security. The approach is successfully validated on a practical application consisting of the onboard detection of people wearing protection masks in a crowded environment.

Preliminary Design of Flapping Wing Micro Aerial Vehicle at Low Reynolds Numbers

2016 ◽  
Author(s):  
Abduljaleel Altememe ◽  
Stanley Anderson ◽  
Oliver J. Myers ◽  
Asha J. Hall
Keyword(s):  
Reynolds Numbers ◽  
Flapping Wing ◽  
Preliminary Design ◽  
Biologically Inspired ◽  
Micro Aerial Vehicle ◽  
Low Reynolds Numbers ◽  
Gas Detectors ◽  
Aerial Vehicle ◽  
Low Reynolds ◽  
Critical Components

This research discusses preliminary design of a Flapping Wing Micro Aerial Vehicle (FWMAV). One approach is to develop a biologically-inspired flapping wing MAV that can maneuver into confined areas and possess hover capabilities. This platform can potentially be equipped with microphones, cameras, and gas detectors, but one major challenge is the low Reynolds number aerodynamics. The critical components for successful flight include size, weight, and energy efficiency. Preliminary efforts include mechanical designs for payload, biologically inspired chassis, wing and tail.

A Biologically-Inspired Micro Aerial Vehicle

2010 ◽  
Vol 60 (1) ◽  
pp. 153-178 ◽  
Author(s):  
Jayant Ratti ◽  
George Vachtsevanos
Keyword(s):  
Biologically Inspired ◽  
Micro Aerial Vehicle ◽  
Aerial Vehicle

Energy-Based Design of Reconfigurable Micro Aerial Vehicle (MAV) Flight Structures

2012 ◽  
Author(s):  
James Joo ◽  
Gregory Reich ◽  
James Elgersma ◽  
Kristopher Aber
Keyword(s):  
Micro Aerial Vehicle ◽  
Aerial Vehicle ◽  
Energy Based Design

scholarly journals Run Your Visual-Inertial Odometry on NVIDIA Jetson: Benchmark Tests on a Micro Aerial Vehicle

2021 ◽  
pp. 1-1
Author(s):  
Jinwoo Jeon ◽  
Sungwook Jung ◽  
Eungchang Lee ◽  
Duckyu Choi ◽  
Hyun Myung
Keyword(s):  
Micro Aerial Vehicle ◽  
Benchmark Tests ◽  
Aerial Vehicle

scholarly journals Towards the Development of an Automatic UAV-Based Indoor Environmental Monitoring System: Distributed Off-Board Control System for a Micro Aerial Vehicle

2021 ◽  
Vol 11 (5) ◽  
pp. 2347 ◽  
Author(s):  
Jorge Solis ◽  
Christoffer Karlsson ◽  
Simon Johansson ◽  
Kristoffer Richardsson
Keyword(s):  
Control System ◽  
Environmental Monitoring ◽  
Monitoring System ◽  
Target Location ◽  
Flight Time ◽  
Distributed Control System ◽  
Micro Aerial Vehicle ◽  
Environmental Monitoring System ◽  
Rapid Changes ◽  
Aerial Vehicle

This research aims to develop an automatic unmanned aerial vehicle (UAV)-based indoor environmental monitoring system for the acquisition of data at a very fine scale to detect rapid changes in environmental features of plants growing in greenhouses. Due to the complexity of the proposed research, in this paper we proposed an off-board distributed control system based on visual input for a micro aerial vehicle (MAV) able to hover, navigate, and fly to a desired target location without considerably affecting the effective flight time. Based on the experimental results, the MAV was able to land on the desired location within a radius of about 10 cm from the center point of the landing pad, with a reduction in the effective flight time of about 28%.

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