18278305. LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM simplified abstract (NEC Corporation)
Contents
- 1 LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
Organization Name
Inventor(s)
LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18278305 titled 'LEARNING DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
Simplified Explanation
The learning device X described in the patent application mainly consists of an optimization problem calculation means X and an executable state set learning means X. The optimization problem calculation means X calculates a function value to be a solution for an optimization problem that uses an evaluation function to evaluate reachability to a target state, based on abstract and detailed system models of a system where a robot operates. The executable state set learning means X learns an executable state set of a robot's action to be executed by a controller based on a function value.
- Optimization problem calculation means X calculates a function value for an optimization problem based on abstract and detailed system models.
- Executable state set learning means X learns an executable state set of a robot's action for the controller based on a function value.
Potential Applications
This technology can be applied in various fields such as robotics, automation, and artificial intelligence.
Problems Solved
This technology helps in optimizing the decision-making process for robots and controllers, improving efficiency and accuracy in executing tasks.
Benefits
The benefits of this technology include enhanced performance, increased productivity, and better resource utilization in robotic systems.
Potential Commercial Applications
The potential commercial applications of this technology include autonomous vehicles, industrial automation, and smart manufacturing processes.
Possible Prior Art
One possible prior art for this technology could be related to optimization algorithms used in robotics and automation systems.
Unanswered Questions
How does this technology compare to existing optimization methods in robotics?
This article does not provide a direct comparison with existing optimization methods in robotics, leaving room for further exploration and analysis.
What are the specific limitations of this technology in real-world applications?
The article does not address the specific limitations of this technology in practical scenarios, which could be crucial for understanding its full potential and drawbacks.
Original Abstract Submitted
A learning device X mainly includes an optimization problem calculation means X and an executable state set learning means X. The optimization problem calculation means X calculates a function value to be a solution for an optimization problem which uses an evaluation function for evaluating reachability to a target state, based on an abstract system model and a detailed system model concerning a system in which a robot operates. The executable state set learning means X learns an executable state set of an action of the robot to be executed by a controller based on a function value.
