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Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot
Published on: June 10, 2020
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Energetics in robotic flight at small scales.
Konstantinos Karydis1, Vijay Kumar1
1Department of Mechanical Engineering and Applied Mechanics , University of Pennsylvania , Philadelphia, PA 19104 , USA.
Interface Focus
|February 7, 2017
Summary
Improving the energy efficiency of small aerial robots is crucial for practical applications. This review surveys methods and aerodynamic modeling to enhance aerial vehicle performance and create energy-aware motion controllers.
Area of Science:
- Robotics
- Aerodynamics
- Control Systems
Background:
- Aerial robots have advanced significantly in design, sensing, and control.
- Improving the energetic efficiency of small aerial robots is a key challenge for practical deployment.
- Current applications are limited by the operational duration and energy consumption of aerial vehicles.
Purpose of the Study:
- To provide a comprehensive survey of small-scale aerial robots (area < 1 m², weight < 3 kg) focusing on energetics.
- To discuss various methods for enhancing the energy efficiency of aerial vehicles.
- To present recent findings on aerodynamic modeling for energy-aware motion planning and control.
Main Methods:
- Literature review of small-scale aerial robot designs and control strategies.
- Analysis of aerodynamic principles impacting aerial robot energy consumption.
- Survey of energy-aware motion planning and control techniques.
Main Results:
- Identified key factors influencing aerial robot energetics, including aerodynamics and design.
- Highlighted methods to improve energy efficiency, such as optimized flight paths and control algorithms.
- Presented findings on aerodynamic modeling for energy-aware systems.
Conclusions:
- Enhancing the energetic efficiency of small aerial robots is vital for expanding their real-world applications.
- Aerodynamic modeling and energy-aware control are critical for developing more practical and efficient aerial robots.
- Further research in this area will enable longer operational durations and broader utility of aerial robotic systems.
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