Robotic Command Language for Dynamic Environment Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cloud computing systems lack efficient methods for robotic devices to interpret and execute complex commands in dynamic environments, limiting their ability to perform tasks autonomously and effectively interact with users.
Innovation Solution
A robotic device equipped with sensory devices that receives short-form commands, determines relevant functions and targets, and autonomously selects actions based on environmental data, utilizing cloud computing to process and execute tasks through a command language that converts action descriptors into executable functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If robotic devices use traditional command interpretation methods, then system complexity is reduced, but autonomous task execution capability and adaptability to dynamic environments deteriorate
Solution Approach 1:
The command interpretation system is segmented into multiple processing stages: receiving short-form commands, determining relevant functions, identifying targets in the environment, and selecting actions. This segmentation allows the system to handle complexity in manageable steps while maintaining adaptability to dynamic environments.
Solution Approach 2:
The patent introduces an intermediary processing layer that bridges simple user commands and complex robotic actions. This intermediary system interprets short-form commands, cross-references them with environmental data from sensory devices, and determines appropriate functions and targets, thereby resolving the contradiction between simplicity and adaptability.
2Productivity
If robotic devices autonomously determine functions and targets based on environmental data, then task execution effectiveness improves, but processing time and computational requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing relationships between commands, functions, and environmental parameters. When a command is received, the robotic device can quickly retrieve and match appropriate functions and targets from pre-processed data structures, reducing real-time processing time while maintaining effective task execution.
3Measurement precision
If robotic devices use detailed long-form commands, then command precision is improved, but ease of operation and user interaction simplicity deteriorate
Solution Approach 1:
The system employs universal short-form commands that can serve multiple functions depending on the environmental context. A single command format can trigger different functions based on what targets are detected in the environment, eliminating the need for users to learn multiple detailed command variants while maintaining precise control over robotic actions.
Data Source
AI summary
Methods and systems for robotic command and operation are provided. In some examples, a robot may be configured to receive a short-form command input that is comprised of an action verb and an object/target, and to analyze contextual/situational data for event outcomes from which the robot can determine an action of a plurality of possible actions to execute. The determination and analyses functions may be performed, in whole or part, through use of a cloud computing system.