首页|Research from Toyohashi University of Technology in Robotics ProvidesNew Insigh ts (A Suspended Pollination Robot With a FlexibleMulti-Degrees-of-Freedom Manip ulator for Self-Pollinated Plants)

Research from Toyohashi University of Technology in Robotics ProvidesNew Insigh ts (A Suspended Pollination Robot With a FlexibleMulti-Degrees-of-Freedom Manip ulator for Self-Pollinated Plants)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented i n a new report. According to news reportingoriginating from Toyohashi, Japan, b y NewsRx correspondents, research stated, “Pollination is an essentialcomponent of plant production, but today, agricultural fields suffer from a shortage of n atural pollinatorsdue to a variety of factors.”Funders for this research include Japan Society For The Promotion of Science (Js ps) Kakenhi.The news reporters obtained a quote from the research from Toyohashi University of Technology:“To solve this serious problem, artificial pollination has been i ntroduced. Robotic pollinators not onlyhelp farmers with a more cost-effective and stable pollination method but also help in crop production inenvironments t hat are not suited for natural pollinators, such as greenhouses. In this paper, we proposea suspended pollination robot that moves along the rail laid on the r oof of greenhouses. This robot hasa flexible multi-degrees-of-freedom manipulat or with two actuators: a retractable linear actuator controlsthe end effector w ith a blower to approach the flower, and a tendon-driven continuum actuator chan gesthe orientation of the end effector. After a flower is designated by a persp ective camera and close-upcamera, the end effector blows the wind to shake the flower. Field tests are conducted by manual controlto assess the fruit set rate of tomatoes, one of the well-known self-pollinated plants.”

Toyohashi University of TechnologyToyo hashiJapanAsiaEmerging TechnologiesMachine LearningRobotRoboticsRo bots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.18)