Nvidia corporation (20240184291). GENERATING A MOTION PLAN TO POSITION AT LEAST A PORTION OF A DEVICE WITH RESPECT TO A REGION simplified abstract

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GENERATING A MOTION PLAN TO POSITION AT LEAST A PORTION OF A DEVICE WITH RESPECT TO A REGION

Organization Name

nvidia corporation

Inventor(s)

Tucker Ryer Hermans of Salt Lake City UT (US)

Jana Pavlasek of Ann Arbor MI (US)

Fabio Tozeto Ramos of Seattle WA (US)

GENERATING A MOTION PLAN TO POSITION AT LEAST A PORTION OF A DEVICE WITH RESPECT TO A REGION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240184291 titled 'GENERATING A MOTION PLAN TO POSITION AT LEAST A PORTION OF A DEVICE WITH RESPECT TO A REGION

Simplified Explanation

The patent application describes apparatuses, systems, and techniques for performing inference to determine a trajectory based on a loss function that includes a cost associated with the divergence between a set of terminal states and a set of goal states within a goal region.

  • The innovation involves using a loss function that considers the amount of divergence between terminal states and goal states.
  • The goal region is defined as the area within which the trajectory should end up.

Potential Applications

This technology could be applied in:

  • Autonomous vehicles for determining optimal trajectories to reach a destination.
  • Robotics for planning efficient paths to complete tasks in a given environment.

Problems Solved

This technology solves the problem of efficiently determining trajectories that minimize divergence from goal states. It also addresses the challenge of optimizing paths within a goal region.

Benefits

  • Improved efficiency in trajectory planning.
  • Enhanced accuracy in reaching desired goals within a specified region.

Potential Commercial Applications

"Optimized Trajectory Determination for Autonomous Vehicles and Robotics"

Possible Prior Art

There may be prior art related to trajectory planning algorithms in the fields of robotics and autonomous systems.

Unanswered Questions

=== How does the system handle dynamic obstacles in the environment? The patent application does not specify how the system adapts to dynamic obstacles that may affect the trajectory planning process.

=== What computational resources are required to implement this technology? The patent application does not provide information on the computational resources needed to execute the trajectory determination process.


Original Abstract Submitted

apparatuses, systems, and techniques to perform inference to determine a trajectory based at least in part on a loss function including a cost associated with an amount of divergence between a set of terminal states and a set of goal states within a goal region.

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