Power Technologies for Drones and Autonomous Robots

Power Technologies for Drones and Autonomous Robots

Amidst Fierce Jostling between Emerging Technologies, Lithium Batteries to Emerge as Preferred Choice

RELEASE DATE
10-May-2016
REGION
Global
Research Code: D6E1-01-00-00-00
SKU: EG01646-GL-TR_18557
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Description

Adoption of Drones and Autonomous robots are steadily increasing in various industries, foremost being healthcare, defense and industrial. Therefore, it's very important that the power sources used in these bots and drones support them to sustain in tough conditions and extreme environment.
This research study focuses on identifying the various power sources that can be used for drones and bots across various industries along with the key expectations that these power sources should satisfy. The study also assess the current and emerging power technologies and utilizes a scenario modeling approach to forecast the future adoption potential of various power sources.

Table of Contents

1.1 Research Scope

1.2 Research Process and Methodology

1.3 Key Findings

1.4 Mapping of Power Sources Used for Autonomous Robots

1.5 Introduction to Autonomous Robots

2.1 Key End-users’ Needs: Healthcare Robots

2.2 Key End-users’ Needs: Personal Robots

2.3 Key End-users’ Needs: Military Robots

2.4 Key End-users’ Needs: Commercial Robots

3.1 Lithium Batteries: High Energy Density in Compact Size

3.2 Lead-based Batteries: Safety and Stable Power Source

3.3 Compressed Gas: High Power-to-Weight Ratio but Needs Careful Handling

3.4 Combustion Engine: Powerful but Has Low Efficiency

3.5 Drivers: Cost and Proven Mechanism Drive Incumbent Technologies

3.6 Barriers: Low-power Endurance Limits Adoption

4.1 Fuel Cells: Immediate High Performance, Clean Energy Source without Lag

4.2 Energy Harvesting: Suitable for Low-power Robots

4.3 Supercapacitors: Provide Short Burst of Power from Thin Devices

4.4 Solar Cells: Provide Thin and Highly Flexible System to Maintain Aerodynamics

4.5 Hybrid Power Sources: Combination of the Best of Two Worlds

4.6 Wireless Charging: Simplifying the Charging Process

4.7 Drivers: Innovative Start-ups Drive Technology Development

4.8 Drivers: Nanomaterials Opens Up New Possibilities

4.9 Barriers: Stability of Performance still far from Commercialization

5.1 Innovation Model: Public System Shapes Innovation Ecosystem

5.2 Innovation Model: Knowledge Flow Is Not Dynamic Due to Lack of National Interest

5.3 Movers and Shakers

6.1 Parameters Used to Define Scenario

6.2 Parameters Used to Define Scenario

6.3 Scenario Definition

6.4 Analysis of Scenarios’ Impact on Adoption of Current Technologies

6.5 Analysis of Scenarios’ Impact on Adoption of Current Technologies

6.6 Analysis of Scenarios’ Impact on Adoption of Current Technologies

6.7 Analysis of Scenarios’ Impact on Adoption of Emerging Technologies

6.8 Analysis of Scenarios’ Impact on Adoption of Emerging Technologies

6.9 Analysis of Scenarios’ Impact on Adoption of Emerging Technologies

6.10 Analysis of Scenarios’ Impact on Adoption of Emerging Technologies

6.11 Analysis of Scenarios’ Impact on Adoption of Emerging Technologies

6.12 Scenario Conclusion

6.13 Scenario Conclusion

7.1 Key Patents

7.1 Key Patents (continued)

7.1 Key Patents (continued)

8.1 Contact Details

8.2 Legal Disclaimer

9.1 The Frost & Sullivan Story

9.2 Value Proposition: Future of Your Company & Career

9.3 Global Perspective

9.4 Industry Convergence

9.5 360º Research Perspective

9.6 Implementation Excellence

9.7 Our Blue Ocean Strategy

Adoption of Drones and Autonomous robots are steadily increasing in various industries, foremost being healthcare, defense and industrial. Therefore, it's very important that the power sources used in these bots and drones support them to sustain in tough conditions and extreme environment. This research study focuses on identifying the various power sources that can be used for drones and bots across various industries along with the key expectations that these power sources should satisfy. The study also assess the current and emerging power technologies and utilizes a scenario modeling approach to forecast the future adoption potential of various power sources.
More Information
No Index No
Podcast No
Author Hafiz Amin
Industries Energy
WIP Number D6E1-01-00-00-00
Is Prebook No