Vision-Based Robot Control via Gesture Recognition
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Solution Overview
Problem
Current robotic control systems lack intuitive methods for user interaction, relying on buttons, remote controls, or auxiliary stations, which limits user convenience and efficiency in controlling robots, especially in dynamic environments.
Innovation Solution
A vision-based robot control system utilizing onboard and environmental cameras, gesture recognition, and infrared markers to interpret user commands, allowing for intuitive control through gestures, voice commands, and geolocation, enabling robots to perform specific actions based on pre-configured associations and lookup tables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional control methods (buttons, remote controls, auxiliary stations) are used, then device reliability is maintained, but ease of operation deteriorates
Solution Approach 1:
The patent replaces traditional mechanical control interfaces (buttons, remote controls, auxiliary stations) with a vision-based optical system. Cameras capture images of gestures or markers, and image processing algorithms interpret these visual inputs to control robot operations, eliminating the need for physical control devices and significantly improving ease of operation.
Solution Approach 2:
The patent introduces an image processing system as an intermediary between the user and the robot control system. This intermediary captures visual gestures or markers through cameras, processes them to determine user intent, and translates them into robot commands, providing a natural and intuitive control interface without direct mechanical interaction.
2Ease of operation
If vision-based control is implemented, then ease of operation improves, but device complexity increases
Solution Approach 1:
The patent implements a multi-functional vision-based control system that can recognize various types of inputs including hand gestures, body gestures, and visual markers. This universal control interface handles multiple control scenarios through a single integrated system, making the robot adaptable to different user preferences and environmental conditions while maintaining ease of operation.
Solution Approach 2:
The patent employs pre-configured lookup tables that store associations between recognized gestures/markers and corresponding robot operations. During operation, the system quickly retrieves pre-defined command mappings rather than computing responses in real-time, reducing processing complexity while maintaining intuitive control responsiveness.
3Ease of operation
If gesture recognition is used, then ease of operation improves, but measurement precision requirements increase
Solution Approach 1:
The patent utilizes infrared markers with specific visual characteristics that differ from the natural environment. These markers have distinct color properties, shapes, and reflection characteristics that enable the vision system to detect them with high precision even in varying lighting conditions, thereby maintaining ease of gesture-based operation while meeting measurement precision requirements.
Solution Approach 2:
The patent employs markers with specific color properties that are detectable by the camera system. These colored markers provide high-contrast visual signals that are easily distinguished from background elements, enabling precise detection and recognition of user gestures or position markers without requiring extremely sensitive measurement systems.
Data Source
AI summary
Various systems and methods for providing a vision-based robot control system are provided herein. A vision-based robot control system comprises a camera system interface to receive image data from a camera system; a trigger detection unit to determine a triggering action from the image data; and a transceiver to initiate a robot operation associated with the triggering action.