Robot Handing Arm Determination Based on User Characteristics
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Solution Overview
Problem
Existing robots fail to consider user body characteristics, such as handedness, disabilities, and posture, when performing object transfer interactions, leading to unnecessary burdens and potential object drops during handovers.
Innovation Solution
A robot system that includes a reception arm determination unit, hand location calculation unit, and handing operation unit, which determine the dominant arm and optimal hand location based on user body characteristics, stature, and posture to perform object transfer without excessive burden on the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the robot hands an object to a user without considering user body characteristics, then the handing operation is simple and fast, but the user experiences physical burden and stress
Solution Approach 1:
The robot performs preliminary detection of user body characteristics (hand location, posture, handedness) before the handing operation. The control unit calculates the optimal hand location based on detected characteristics and determines the appropriate handing side in advance, so that when the object transfer occurs, the robot is already positioned correctly, avoiding physical burden on the user during the actual handing moment.
Solution Approach 2:
The system incorporates feedback loops where the detection unit continuously monitors user characteristics and the control unit adjusts the handing parameters accordingly. The robot uses detected hand location and posture information to dynamically adjust its handing behavior, ensuring the object is transferred to the optimal location that minimizes user physical burden while maintaining ease of operation.
2Ease of operation
If the robot determines optimal hand location based on user characteristics, then user physical strain is reduced, but the detection and calculation process becomes more complex
Solution Approach 1:
The detection unit is designed to be multi-functional, handling multiple types of user characteristic detection (hand location, posture, handedness) through a unified system. The control unit performs multiple calculations (optimal hand location determination, handing side selection) using a centralized control architecture, reducing the overall system complexity despite the increased measurement requirements.
Solution Approach 2:
The system replaces complex mechanical measurement devices with sensor-based detection methods. Instead of using complex mechanical structures to measure user characteristics, the robot employs sensors (cameras, depth sensors, etc.) to detect hand location and posture, which are then processed by the control unit to determine optimal handing parameters, simplifying the overall detection system.
3Ease of operation
If the robot considers user handedness and hand location, then object transfer becomes more natural and comfortable, but the handling precision requirements increase
Solution Approach 1:
The robot employs dynamic adjustment of handing parameters based on real-time detection of user characteristics. The control unit dynamically calculates the optimal hand location and adjusts the robot's movement and positioning in real-time during the handing operation. This dynamic approach allows the robot to adapt to variations in user position and posture, maintaining naturalness while managing precision requirements through continuous adjustment rather than rigid pre-programmed precision.
Data Source
AI summary
A robot apparatus includes a reception arm determination unit that determines from a left arm or a right arm of a user a reception arm which is used in handing of an object; a hand location calculation unit that calculates a current location of a hand of the reception arm; and a handing operation unit that performs an object handing operation at the location of the hand of the reception arm which is calculated using the hand location calculation unit.