Nvidia corporation (20240319713). DECIDER NETWORKS FOR REACTIVE DECISION-MAKING FOR ROBOTIC SYSTEMS AND APPLICATIONS simplified abstract
Contents
DECIDER NETWORKS FOR REACTIVE DECISION-MAKING FOR ROBOTIC SYSTEMS AND APPLICATIONS
Organization Name
Inventor(s)
Nathan Donald Ratliff of Seattle WA (US)
DECIDER NETWORKS FOR REACTIVE DECISION-MAKING FOR ROBOTIC SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240319713 titled 'DECIDER NETWORKS FOR REACTIVE DECISION-MAKING FOR ROBOTIC SYSTEMS AND APPLICATIONS
The abstract of this patent application discusses decider networks for reactive decision-making in robotic systems, allowing them to operate more collaboratively by processing and reacting to dynamic states of the environment and objects.
- Decider networks for reactive decision-making in robotic systems
- Enable more collaborative operation of robotic systems
- Process and react to dynamic states of the environment and objects
- Change decisions and paths of decision execution based on dynamic changes in logical states
- Plurality of nodes with functions to determine actions for robotic systems
Potential Applications: - Autonomous vehicles - Industrial automation - Smart home systems - Healthcare robotics - Agricultural robotics
Problems Solved: - Enhancing collaborative operation of robotic systems - Improving adaptability to dynamic environments - Increasing efficiency in decision-making processes
Benefits: - Enhanced responsiveness to changing conditions - Improved coordination among robotic systems - Increased adaptability to various environments
Commercial Applications: Title: "Enhancing Collaborative Decision-Making in Robotic Systems" This technology can be applied in industries such as manufacturing, logistics, healthcare, agriculture, and transportation to improve efficiency and productivity through collaborative decision-making in robotic systems.
Questions about Decider Networks for Reactive Decision-Making in Robotic Systems: 1. How do decider networks improve the collaborative operation of robotic systems? Decider networks enhance collaboration by allowing robotic systems to process dynamic states and adapt their decisions accordingly. 2. What are the potential applications of decider networks in different industries? Decider networks can be utilized in autonomous vehicles, industrial automation, smart home systems, healthcare robotics, and agricultural robotics for improved decision-making processes.
Original Abstract Submitted
in various examples, systems and methods are disclosed relating to decider networks for reactive decision-making, including for control of robotic systems. the decider networks can allow robotic systems to operate more collaboratively, such as by allowing the robotic systems to more frequently process and react to dynamic states of the environment and objects in the environment, such as to change decisions and/or paths of decision execution responsive to dynamic changes in logical states. the decider network can include a plurality of nodes having functions to process the logical states in sequence to determine actions for the robotic systems to perform.
