Google llc (20240190004). SIMULATION DRIVEN ROBOTIC CONTROL OF REAL ROBOT(S) simplified abstract
Contents
- 1 SIMULATION DRIVEN ROBOTIC CONTROL OF REAL ROBOT(S)
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SIMULATION DRIVEN ROBOTIC CONTROL OF REAL ROBOT(S) - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Robotic Simulator Technology
- 1.13 Original Abstract Submitted
SIMULATION DRIVEN ROBOTIC CONTROL OF REAL ROBOT(S)
Organization Name
Inventor(s)
Tigran Gasparian of Munich (DE)
Andreas Christiansen of Lengdorf (DE)
Matthew Bennice of San Jose CA (US)
Paul Bechard of Ogdensburg NY (US)
SIMULATION DRIVEN ROBOTIC CONTROL OF REAL ROBOT(S) - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240190004 titled 'SIMULATION DRIVEN ROBOTIC CONTROL OF REAL ROBOT(S)
Simplified Explanation
The patent application describes the active utilization of a robotic simulator to control one or more real-world robots. The simulator can mimic a real-world environment to plan and execute robotic actions for the real robots.
- The robotic simulator is configured to mirror a real-world environment for the real robot.
- It generates a sequence of robotic actions for the real robot based on the simulated environment.
- The real robot implements the actions, with some being contingent on the similarity of real and simulated state data.
Key Features and Innovation
- Use of a robotic simulator to plan and control real-world robots.
- Simulation of real-world environments for accurate robotic action planning.
- Contingent execution of actions based on similarity of real and simulated data.
Potential Applications
The technology can be applied in industries such as manufacturing, logistics, healthcare, and agriculture for efficient and accurate robotic control.
Problems Solved
The technology addresses the challenge of planning and controlling real-world robots in complex environments by utilizing a simulated environment for accurate action sequencing.
Benefits
- Improved efficiency and accuracy in robotic control.
- Enhanced safety in complex environments.
- Cost-effective planning and execution of robotic tasks.
Commercial Applications
The technology can be used in industries requiring precise robotic control, such as manufacturing automation, warehouse management, and medical robotics.
Prior Art
There may be prior research on using simulators for robotic control and planning in various industries. Researchers can explore academic databases and patent databases for related work.
Frequently Updated Research
Researchers are continually exploring advancements in robotic simulation and control for various applications. Stay updated on the latest research in robotics and simulation technologies.
Questions about Robotic Simulator Technology
How does the use of a robotic simulator improve the control of real-world robots?
The robotic simulator allows for accurate planning and sequencing of robotic actions in a simulated environment, leading to more efficient and precise control of real-world robots.
What industries can benefit the most from the active utilization of a robotic simulator in controlling robots?
Industries such as manufacturing, logistics, healthcare, and agriculture can benefit significantly from the technology by enhancing efficiency, accuracy, and safety in robotic operations.
Original Abstract Submitted
active utilization of a robotic simulator in control of one or more real world robots. a simulated environment of the robotic simulator can be configured to reflect a real world environment in which a real robot is currently disposed, or will be disposed. the robotic simulator can then be used to determine a sequence of robotic actions for use by the real world robot(s) in performing at least part of a robotic task. the sequence of robotic actions can be applied, to a simulated robot of the robotic simulator, to generate a sequence of anticipated simulated state data instances. the real robot can be controlled to implement the sequence of robotic actions. the implementation of one or more of the robotic actions can be contingent on a real state data instance having at least a threshold degree of similarity to a corresponding one of the anticipated simulated state data instances.
