18582266. SIMULATION DRIVEN ROBOTIC CONTROL OF REAL ROBOT(S) simplified abstract (Google LLC)
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 for Enhanced Control of Real-World Robots
- 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 18582266 titled 'SIMULATION DRIVEN ROBOTIC CONTROL OF REAL ROBOT(S)
Simplified Explanation
This patent application discusses the active utilization of a robotic simulator to control one or more real-world robots. The simulator is configured to mimic a real-world environment, allowing for the generation of sequences of robotic actions that can be applied to the real robots.
- The patent involves using a robotic simulator to plan and control actions for real-world robots.
- The simulator can replicate real-world environments to generate realistic robotic action sequences.
- By implementing these planned actions, real robots can perform tasks efficiently and accurately.
Key Features and Innovation
- Utilization of a robotic simulator to control real-world robots.
- Configuration of the simulator to mirror real-world environments.
- Generation of sequences of robotic actions for real robots based on simulated environments.
Potential Applications
This technology can be applied in various industries such as manufacturing, logistics, healthcare, and agriculture where robots are used for automation and efficiency.
Problems Solved
This technology addresses the challenge of efficiently planning and controlling actions for real-world robots by utilizing a simulated environment for testing and optimization.
Benefits
- Improved efficiency and accuracy in robotic tasks.
- Cost-effective testing and optimization of robotic actions.
- Enhanced performance of real-world robots through simulation-based planning.
Commercial Applications
Title: "Robotic Simulator for Enhanced Control of Real-World Robots" This technology can be commercially used in industries such as manufacturing, logistics, healthcare, and agriculture for optimizing robotic operations and increasing productivity.
Prior Art
Readers can explore prior research on robotic simulation, control systems for robots, and optimization techniques in robotics to understand the background of this technology.
Frequently Updated Research
Researchers are constantly exploring advancements in robotic simulation, control algorithms, and human-robot interaction to enhance the capabilities of robotic systems.
Questions about Robotic Simulator for Enhanced Control of Real-World Robots
How does the robotic simulator improve the efficiency of real-world robots?
The robotic simulator allows for the testing and optimization of robotic actions in a simulated environment, leading to more efficient and accurate performance by real-world robots.
What industries can benefit from the utilization of this technology?
Industries such as manufacturing, logistics, healthcare, and agriculture can benefit from this technology by improving automation processes and increasing productivity.
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.
