Wearable Robot Teaching With Real-Time Motion and Force Feedback
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Solution Overview
Problem
Current methods for teaching robots lack efficiency in directly learning complex tasks from human demonstrations, as they often require extensive programming and struggle to adapt to variations in task execution.
Innovation Solution
A wearable device with sensors and a visual input device that captures human movements, orientations, and forces, allowing real-time data processing and visualization, enabling the robot to learn and correct its actions based on human demonstration, and store these commands for future reference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional robot teaching methods are used, then programming complexity increases, but task learning efficiency decreases
Solution Approach 1:
The system captures human demonstration data using sensors and creates a digital copy of the human operator's movements, forces, and actions. This copied data is then processed and executed by the robot, eliminating the need for complex programming while maintaining high task learning efficiency.
Solution Approach 2:
The patent replaces traditional mechanical programming interfaces with a sensor-based data capture system. Instead of manually programming robot movements through complex code or graphical interfaces, the system directly captures human motor commands and translates them into robot control signals, significantly simplifying the teaching process.
2Adaptability or versatility
If robot teaching systems lack real-time feedback, then task accuracy improves, but adaptation to variations deteriorates
Solution Approach 1:
The system incorporates real-time feedback through sensors that continuously monitor human operator actions and robot performance. This feedback loop allows the system to detect variations in task execution and make real-time adjustments, enabling the robot to adapt to different scenarios while maintaining high task accuracy through precise sensor measurements.
Data Source
AI summary
A system for teaching a robot includes a wearable device having a plurality of sensors for sensing signals representing at least one movement, orientation, position, force, and torque of any part of a user's body applied on a target. The system further includes a processing device configured to receive the sensed signals, the processing device further configured to store the sensed signals defining as data of teaching commands, a controller for controlling a robot receives the data of teaching commands and operates the robot according to the received data of teaching commands, an object sensor to detect position and orientation of an object as a workpiece of the robot, and a visual input device communicatively coupled to at least one of the processing device and the controller.