Sewer pipe repair robot controlled via user behavioral data

Sewer Pipe Repair Robot Controlled via User Behavioral Data

This technology is a sewer pipe repair system mechanism that extracts 6-DOF motion data for repair tasks based on the user's biological signals (EMG, joint movement, etc.) and external force information to generate autonomous operation manuals, which are then used to control the manipulator.

The challenges include labor shortages due to the hazardous nature of sewer environments, as well as increased operator fatigue, reliance on individual skill levels, and the potential for safety accidents when using remote control systems.

This technology consists of a control module that uses a guide module to digitize user control actions and biological signals to generate autonomous operation manuals, and a mobile platform that actively maintains the manipulator's level through tilt measurement and cylinder control. It can be applied to robotic gripping, precision measurement, and automated equipment, improving the accuracy and efficiency of sewer repair work, enhancing user safety, and overcoming obstacles in the robot's path.

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Key Features:

• A guide module that measures the biological signals of the user operating the guide member
• A work platform including a repair module for chipping or removing debris from the inner walls of sewer pipes and a manipulator to control it
• A mobile platform that moves along the sewer pipe and controls the manipulator to maintain a level position relative to the ground
• A control module that generates autonomous operation manuals from measured biological signals and controls the work platform

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This invention was developed with support from the Ministry of Science, ICT and Future Planning for the development of a reinforced concrete chipping robot system for the maintenance of covered structures.