首页|Study Findings from New Mexico State University Broaden Understanding of Robotics (Combined Soft Grasping and Crawling Locomotor Robot for Exterior Navigation o f Tubular Structures)

Study Findings from New Mexico State University Broaden Understanding of Robotics (Combined Soft Grasping and Crawling Locomotor Robot for Exterior Navigation o f Tubular Structures)

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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 Las Cruces,New Mexico,by NewsRx correspondents,research stated,"This paper presents the design,development,and testing of a robot that combines soft-body grasping and crawling locomotion to navigate tubular objects." Financial supporters for this research include National Science Foundation.Our news journalists obtained a quote from the research from New Mexico State Un iversity:"Inspired by the natural snakes' climbing locomotion of tubular object s,the soft robot includes proximal and distal modules with radial expansion/con traction for grasping around the objects and a longitudinal contractileexpandab le driving module in-between for providing a bi-directional crawling movement al ong the length of the object.The robot's grasping modules are made of fabrics,and the crawling module is made of an extensible pneumatic soft actuator (ePSA).Conceptual designs and CAD models of the robot parts,textile-based inflatable structures,and pneumatic driving mechanisms were developed.The mechanical parts were fabricated using advanced and conventional manufacturing techniques.An A rduino-based electro-pneumatic control board was developed for generating cyclic patterns of grasping and locomotion.Different reinforcing patterns and materia ls characterize the locomotor actuators' dynamical responses to the varying inpu t pressures."

New Mexico State UniversityLas CrucesNew MexicoUnited StatesNorth and Central AmericaEmerging TechnologiesMa chine LearningRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.12)