Autonomous Drone Tech: Multi-Industry Terrain Navigation
Legal Citation
Background and Problem Solved
The original patent, 'Autonomous robot system for steep terrain farming operations,' demonstrated the feasibility of autonomous robots in steep terrain farming. However, its scope was limited to agricultural applications. This new invention addresses the problem of applying the core technology to entirely different industries, unlocking new use cases and applications.
Novelty and Inventive Step
The new invention's novelty lies in its expansion of the original patent's technology to new, non-agricultural applications. The inventive step is the adaptation of the autonomous drone system to operate in diverse industries, addressing unique challenges and providing innovative solutions.
Alternative Embodiments and Variations
Alternative embodiments of the invention could include modifying the drone design for specific industries, integrating additional sensors or tools, or developing new UAV servicing protocols. Variations may also include incorporating machine learning algorithms for data analysis, integrating with existing infrastructure, or developing hybrid systems combining autonomous drones with manned vehicles.
Potential Commercial Applications and Market
The invention has significant commercial potential in various industries, including environmental monitoring, disaster response, infrastructure inspection, search and rescue, and wildlife conservation. The target market includes government agencies, private companies, and organizations operating in these fields, seeking to leverage autonomous drone technology for improved efficiency, safety, and decision-making.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A01 | A01B69/008 |
| B | B64 | B64C39/02 |
| G | G01 | G01C21/3461 |
| G | G01 | G01C21/3469 |
| G | G05 | G05D1/101 |
| G | G05 | G05D2201/0201 |
Original Patent Information
| Patent Number | US 11,856,882 |
|---|---|
| Title | Autonomous robot system for steep terrain farming operations |
| Assignee(s) | Kansas Stte University Research Foundation |