首页|Technical University of Kosice Researcher Describes Recent Advances in Robotics (Sensing of Continuum Robots: A Review)

Technical University of Kosice Researcher Describes Recent Advances in Robotics (Sensing of Continuum Robots: A Review)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on robotics have been pr esented. According to news originating from Technical University of Kosice by Ne wsRx correspondents, research stated, "The field of continuum robotics is rapidl y developing. The development of new kinematic structures, locomotion principles and control strategies is driving the development of new types of sensors and s ensing methodologies." Financial supporters for this research include Vega. Our news editors obtained a quote from the research from Technical University of Kosice: "The sensing in continuum robots can be divided into shape perception a nd environment perception. The environment perception is focusing on sensing the interactions between the robot and environment. These sensors are often embedde d on an outer layer of the robots, so the interactions can be detected. The shap e perception is sensing the robot's shape using various principles. There are th ree main groups of sensors that use the properties of electricity, magnetism and optics to measure the shape of the continuum robots. The sensors based on measu ring the properties of electricity are often based on measuring the electrical r esistance or capacitance of the flexible sensor. Sensors based on magnetism use properties of permanent magnets or coils that are attached to the robot. Their m agnetic field, flux or other properties are then tracked, and shape reconstructi on can be performed. The last group of sensors is mostly based on leveraging the properties of traveling light through optical fibers. There are multiple object ives of this work. Objective number one is to clearly categorize the sensors and make a clear distinction between them."

Technical University of KosiceEmerging TechnologiesMachine LearningNano-robotRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.6)