首页|New Findings Reported from Sungkyunkwan University Describe Advances in Robotics (Development of a Wheel-Type In-Pipe Robot Using Continuously Variable Transmis sion Mechanisms for Pipeline Inspection)

New Findings Reported from Sungkyunkwan University Describe Advances in Robotics (Development of a Wheel-Type In-Pipe Robot Using Continuously Variable Transmis sion Mechanisms for Pipeline Inspection)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on robotics are presented i n a new report. According to news reporting originating from Suwon, South Korea, by NewsRx correspondents, research stated, "Pipelines are embedded in industria l sites and residential environments, and maintaining these pipes is crucial to prevent leakage. Given that most pipelines are buried, the development of robots capable of exploring their interiors is essential." Financial supporters for this research include National Research Foundation of K orea (Nrf) Grant Funded By The Korea Government. The news correspondents obtained a quote from the research from Sungkyunkwan Uni versity: "In this work, we introduce a novel in-pipe robot utilizing Continuousl y Variable Transmission (CVT) mechanisms for navigating various pipes, including vertical and curved pipes. The robot comprises one air motor, three CVT mechani sms, and six wheels at the end of six slider-crank mechanisms, including three a ctive and three idler ones. The slider crank and spring mechanism generate a wal l press force through the wheel to prevent slipping inside the pipe. This capabi lity allows the robot to climb vertical pipes and adapt to various pipe diameter s. Moreover, by combining CVT mechanisms, whose speed ratios between the driver and driven pulleys are passively adjusted by the position of the slider, the rob ot achieves independent and continuous speed control for each wheel. This enable s it to navigate pipes with various geometries, such as straight-curved-straight pipes, using only one motor."

Sungkyunkwan UniversitySuwonSouth Ko reaAsiaEmerging TechnologiesMachine LearningRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.6)