View source for Nvidia corporation (20240131706). COLLISION-FREE MOTION GENERATION simplified abstract

=COLLISION-FREE MOTION GENERATION=


==Organization Name==

[[:Category:nvidia corporation|nvidia corporation]]


[[Category:nvidia corporation]]

==Inventor(s)==

[[:Category:Balakumar Sundaralingam of Seattle WA (US)|Balakumar Sundaralingam of Seattle WA (US)]][[Category:Balakumar Sundaralingam of Seattle WA (US)]]

[[:Category:Siva Kumar Sastry Hari of Sunnyvale CA (US)|Siva Kumar Sastry Hari of Sunnyvale CA (US)]][[Category:Siva Kumar Sastry Hari of Sunnyvale CA (US)]]

[[:Category:Adam Harper Fishman of Seattle WA (US)|Adam Harper Fishman of Seattle WA (US)]][[Category:Adam Harper Fishman of Seattle WA (US)]]

[[:Category:Caelan Reed Garrett of Seattle WA (US)|Caelan Reed Garrett of Seattle WA (US)]][[Category:Caelan Reed Garrett of Seattle WA (US)]]

[[:Category:Alexander James Millane of Zurich (CH)|Alexander James Millane of Zurich (CH)]][[Category:Alexander James Millane of Zurich (CH)]]

[[:Category:Elena Oleynikova of Zurich (CH)|Elena Oleynikova of Zurich (CH)]][[Category:Elena Oleynikova of Zurich (CH)]]

[[:Category:Ankur Handa of Seattle WA (US)|Ankur Handa of Seattle WA (US)]][[Category:Ankur Handa of Seattle WA (US)]]

[[:Category:Fabio Tozeto Ramos of Seattle WA (US)|Fabio Tozeto Ramos of Seattle WA (US)]][[Category:Fabio Tozeto Ramos of Seattle WA (US)]]

[[:Category:Nathan Donald Ratliff of Seattle WA (US)|Nathan Donald Ratliff of Seattle WA (US)]][[Category:Nathan Donald Ratliff of Seattle WA (US)]]

[[:Category:Karl Van Wyk of Issaquah WA (US)|Karl Van Wyk of Issaquah WA (US)]][[Category:Karl Van Wyk of Issaquah WA (US)]]

[[:Category:Dieter Fox of Seattle WA (US)|Dieter Fox of Seattle WA (US)]][[Category:Dieter Fox of Seattle WA (US)]]

==COLLISION-FREE MOTION GENERATION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240131706 titled 'COLLISION-FREE MOTION GENERATION

==Simplified Explanation==

The patent application focuses on apparatuses, systems, and techniques for performing collision-free motion generation, particularly for operating real-world or virtual robots. In one embodiment, a portion of the collision-free motion generation is done in parallel.

* Collision-free motion generation for robots
* Apparatuses, systems, and techniques for real-world or virtual robots
* Parallel processing for collision-free motion generation

== Potential Applications ==
The technology can be applied in various industries such as manufacturing, healthcare, logistics, and entertainment where robots are used for tasks that require precise and safe motion planning.

== Problems Solved ==
1. Ensures robots can move without colliding with obstacles or other robots, increasing safety and efficiency.
2. Enables robots to navigate complex environments autonomously, reducing the need for human intervention.

== Benefits ==
1. Improved safety in robot operations.
2. Increased productivity and efficiency in various industries.
3. Autonomous navigation capabilities for robots.

== Potential Commercial Applications ==
Optimizing warehouse operations, enhancing medical procedures, streamlining manufacturing processes, and improving entertainment experiences through advanced robot motion planning technology.

== Possible Prior Art ==
Prior art in the field of robotics may include research papers, patents, or commercial products that focus on collision-free motion planning for robots. One example could be motion planning algorithms used in autonomous vehicles.

=== Unanswered Questions ===

=== How does the technology handle dynamic environments where obstacles may move unpredictably? ===
The patent abstract does not specifically address how the technology adapts to dynamic environments where obstacles can change position or appear suddenly.

=== What types of sensors or data inputs are used to ensure accurate collision-free motion planning? ===
The abstract does not provide details on the specific sensors or data inputs utilized in the collision-free motion generation process.


==Original Abstract Submitted==

apparatuses, systems, and techniques to perform collision-free motion generation (e.g., to operate a real-world or virtual robot). in at least one embodiment, at least a portion of the collision-free motion generation is performed in parallel.



[[Category:B25J9/16]]