View source for 18034603. DESIGN METHODS AND MOTION CONTROL ALGORITHMS FOR IMPACT-RESILIENT MOBILE ROBOTS simplified abstract (THE REGENTS OF THE UNIVERSITY OF CALIFORNIA)

=DESIGN METHODS AND MOTION CONTROL ALGORITHMS FOR IMPACT-RESILIENT MOBILE ROBOTS=


==Organization Name==

[[:Category:THE REGENTS OF THE UNIVERSITY OF CALIFORNIA|THE REGENTS OF THE UNIVERSITY OF CALIFORNIA]]


[[Category:THE REGENTS OF THE UNIVERSITY OF CALIFORNIA]]

==Inventor(s)==

[[:Category:Konstantinos Karydis of Laguna Beach CA (US)|Konstantinos Karydis of Laguna Beach CA (US)]][[Category:Konstantinos Karydis of Laguna Beach CA (US)]]

[[:Category:Zhichao Liu of Moreno Valley CA (US)|Zhichao Liu of Moreno Valley CA (US)]][[Category:Zhichao Liu of Moreno Valley CA (US)]]

[[:Category:Zhouyu Lu of Riverside CA (US)|Zhouyu Lu of Riverside CA (US)]][[Category:Zhouyu Lu of Riverside CA (US)]]

==DESIGN METHODS AND MOTION CONTROL ALGORITHMS FOR IMPACT-RESILIENT MOBILE ROBOTS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18034603 titled 'DESIGN METHODS AND MOTION CONTROL ALGORITHMS FOR IMPACT-RESILIENT MOBILE ROBOTS

==Simplified Explanation==

The patent application describes an apparatus and method for detecting and recovering from collisions involving aerial vehicles. The apparatus includes an arm, a flexible member, and a sensing system. A processor is used to receive a collision signal, regain control of the collision-resilient robot, and plan a post-collision trajectory using a global search-based planner.

* The apparatus is designed to detect collisions involving aerial vehicles and recover from them.
* It includes an arm, a flexible member, and a sensing system to facilitate collision detection and recovery.
* A processor is used to receive collision signals and regain control of the robot after a collision.
* The processor also plans a post-collision trajectory for the robot using a global search-based planner.

== Potential Applications ==
This technology can have various applications in the field of aerial vehicles, including:

* Drone delivery services: The collision detection and recovery system can help ensure the safe delivery of packages by drones, even in the event of collisions.
* Aerial surveillance: Drones equipped with this technology can continue their surveillance operations even after colliding with obstacles, minimizing downtime.
* Search and rescue missions: The collision-resilient robots can navigate through challenging environments and recover from collisions, making them suitable for search and rescue operations.

== Problems Solved ==
The technology addresses several problems associated with collisions involving aerial vehicles:

* Collision detection: The apparatus provides a reliable method for detecting collisions, allowing for prompt response and recovery.
* Collision recovery: By regaining control of the robot and planning a post-collision trajectory, the technology enables the robot to continue its mission or return to a safe location.
* Downtime reduction: The system minimizes downtime caused by collisions, ensuring the continuity of operations and reducing potential delays.

== Benefits ==
The technology offers several benefits in the field of aerial vehicles:

* Enhanced safety: By promptly detecting and recovering from collisions, the technology improves the overall safety of aerial vehicles and their operations.
* Increased reliability: The collision-resilient robot can continue its mission or return to safety, increasing the reliability of aerial vehicle systems.
* Efficiency improvement: Minimizing downtime and delays due to collisions improves the efficiency of aerial vehicle operations, such as drone deliveries or surveillance missions.


==Original Abstract Submitted==

An apparatus and method for detecting a collision of an aerial vehicle and recovery from the collision is disclosed. An apparatus for use in an aerial vehicle includes an arm, a flexible member and a sensing system. A processor is configured to receive a collision signal after deformation of the collision-resilient robot from a collision, recover control of the collision-resilient robot after the collision, and plan a post-collision trajectory for the collision-resilient robot using a global search-based planner.



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