20240020905.GRANULAR MOTION CONTROL FOR A VIRTUAL AGENT simplified abstract (apple inc.)
Contents
- 1 GRANULAR MOTION CONTROL FOR A VIRTUAL AGENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 GRANULAR MOTION CONTROL FOR A VIRTUAL AGENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
GRANULAR MOTION CONTROL FOR A VIRTUAL AGENT
Organization Name
Inventor(s)
Siva Chandra Mouli Sivapurapu of Santa Clara CA (US)
Aashi Manglik of Sunnyvale CA (US)
Edward S. Ahn of San Francisco CA (US)
Mark Drummond of Palo Alto CA (US)
GRANULAR MOTION CONTROL FOR A VIRTUAL AGENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240020905 titled 'GRANULAR MOTION CONTROL FOR A VIRTUAL AGENT
Simplified Explanation
The patent application describes devices, systems, and methods for granular motion control for a virtual agent. This involves determining confidence scores for different granular motions to advance the virtual agent towards completing an action, and selecting a subset of motions based on these scores.
- Devices, systems, and methods for granular motion control for a virtual agent are disclosed in the patent application.
- The technology involves obtaining an action for a virtual agent and determining confidence scores for granular motions to advance the agent towards completing the action.
- A subset of granular motions is selected based on the confidence scores to control the virtual agent's movements effectively.
Potential Applications
The technology could be applied in virtual reality gaming, animation production, virtual assistants, and robotics for precise and realistic motion control of virtual agents.
Problems Solved
This technology solves the problem of efficiently controlling the movements of virtual agents by selecting the most appropriate granular motions based on confidence scores, leading to smoother and more accurate actions.
Benefits
The benefits of this technology include enhanced realism in virtual environments, improved user interaction with virtual agents, and more efficient animation production processes.
Potential Commercial Applications
Potential commercial applications of this technology include virtual reality gaming systems, animation software, virtual assistant platforms, and robotics for various industries.
Possible Prior Art
One possible prior art could be motion capture technology used in animation and gaming industries to capture and replicate human movements for virtual characters.
What are the specific granular motions that can be controlled for a virtual agent in this technology?
The specific granular motions that can be controlled for a virtual agent in this technology are movements that advance the agent towards completing a specific action. These motions are assigned confidence scores to determine their effectiveness in achieving the desired outcome.
How does the technology ensure the virtual agent's movements are accurate and realistic?
The technology ensures the virtual agent's movements are accurate and realistic by selecting a subset of granular motions based on confidence scores, which helps in controlling the agent's actions effectively. This process leads to smoother and more natural movements for the virtual agent.
Original Abstract Submitted
various implementations disclosed herein include devices, systems, and methods for granular motion control for a virtual agent. in various implementations, a device includes a non-transitory memory and one or more processors coupled with the non-transitory memory. in some implementations, a method includes obtaining an action for a virtual agent. in some implementations, the action is associated with a plurality of time frames. in some implementations, the method includes, for a first time frame of the plurality of time frames, determining respective confidence scores for a plurality of granular motions that advance the virtual agent towards completion of the action. in some implementations, the method includes selecting a subset of the plurality of granular motions based on the respective confidence scores.
