Robotic Intent Inference Control for Stable Object Interaction
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Solution Overview
Problem
Conventional robotic systems face challenges in accurately mimicking human actions, leading to unstable performances, and intent-based action generation is limited to video games, lacking practical applications in controlling robotic devices based on inferred operator intent.
Innovation Solution
An intent-based system that monitors an operator's actions, infers the intended target and action, and controls the robotic device to perform the intended action, using vision systems, gesture tracking, and semantic task parsing to identify and confirm the target and action, allowing for precise interactions with objects in various environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional robotic systems mimic human actions through movement tracking, then the robotic device can replicate human gestures, but the performance becomes unstable and imprecise
Solution Approach 1:
The patent replaces mechanical movement tracking with a cognitive inference system that uses vision processing and semantic task parsing to determine operator intent. Instead of mechanically replicating human gestures, the system infers the operator's intended target and action through computer vision and natural language processing, then generates appropriate robotic actions based on this inferred intent, resulting in more stable and precise performance.
Solution Approach 2:
The patent introduces an intent inference system as an intermediary between the operator's actions and the robotic device's responses. This intermediary layer processes visual information, parses semantic tasks, and infers intent before generating control commands, thereby stabilizing the relationship between operator input and robotic output while improving action accuracy.
2Measurement precision
If the system monitors and infers operator intent in real-time, then the control precision improves, but the system complexity increases
Solution Approach 1:
The patent segments the intent inference system into distinct functional modules: a vision system for capturing and processing visual information, a semantic task parsing module for understanding operator commands, and an intent inference engine for determining the operator's intended target and action. This modular segmentation manages system complexity while maintaining high intent detection accuracy through specialized processing in each module.
3Productivity
If intent-based control is implemented for robotic devices, then operational efficiency improves, but the difficulty of detecting and measuring operator intent increases
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors operator actions, compares inferred intent with actual robotic responses, and adjusts its inference model accordingly. This feedback loop enables the system to improve its intent detection accuracy over time while maintaining high operational efficiency, as the system learns from accumulated data to better predict operator intentions.
Data Source
AI summary
A method for controlling a robotic device includes monitor an action of an operator of the robotic device. The method also includes inferring an intended target based on the monitored action. The method further includes determining an intended action for the intended target. The method still further includes controlling the robotic device to perform the intended action.