Robotics & Machine Learning Daily News2024,Issue(Jun.18) :156-158.

Patent Issued for Automated packing cart (USPTO 11993468)

自动包装车专利(USPTO 11993468)

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :156-158.

Patent Issued for Automated packing cart (USPTO 11993468)

自动包装车专利(USPTO 11993468)

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摘要

来自弗吉尼亚州亚历山大市的Robotics&Machine Learning Daily News的新闻记者兼工作人员新闻编辑报道,发明者Chi、Yun Noo(宾夕法尼亚州匹兹堡)、Darr、James(宾夕法尼亚州匹兹堡)、Olshenske、Zachary(宾夕法尼亚州北亨廷顿)、Rudolph、Robert(加州桑尼维尔)于2024年10月7日提交了专利专利号11993468的受让人是Four Growers Inc.。(美国宾夕法尼亚州匹兹堡H)。新闻编辑从发明人提供的背景信息中获得了以下引文:“虽然在自动挑选产品和其他物体的能力方面已经取得了进展,但这些系统在如何处理收集的物品方面仍然存在缺陷。收集到的物品不是存放在大漏斗里,就是必须经常由人卸下。把物品存放在大漏斗里,可能会对产品或类似的软性物品造成不良影响。由于产品会在其上面的总产值重量下受损。人与人之间的互动也是不可取的,因为它限制了机器人收割机的产量,并且阻碍了这些设备的成本效益。除了上述缺陷之外,使用非标准设备和指定人员来支持这些机器人收割机可能会给现有的传统作物收割设施带来负担(例如,温室)整合,从而进一步限制了它们扩大使用的能力。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Alexandria, Virginia, NewsRx jour nalists report that a patent by the inventors Chi, Yun Nuo (Pittsburgh, PA, US), Darr, James (Pittsburgh, PA, US), Olshenske, Zachary (North Huntingdon, PA, US) , Rudolph, Robert (Sunnyvale, CA, US), filed on October 7, 2020, was published o nline on May 28, 2024. The patent's assignee for patent number 11993468 is Four Growers Inc. (Pittsburg h, Pennsylvania, United States). News editors obtained the following quote from the background information suppli ed by the inventors: "While advancements have been made in the ability to roboti cally pick produce, and other objects, there still exists a shortcoming in those systems as to what to do with the gathered items. Currently, items gathered are either stored in large hoppers or must be frequently unloaded by humans. Storin g items in large hoppers can lead to adverse effects on produce, or similar soft goods, as the product can become damaged under the weight of the gross product above it. Human interaction is also undesirable as it limits the throughput of t he robotic harvesters and is a roadblock to these units becoming cost effective. In addition to the above deficiencies, the use of non-standard equipment and de dicated personnel to support these robotic harvesters can be taxing for existing traditional crop harvesting facilities (e.g., greenhouses) to integrate, thus f urther limiting their ability to expand usage.

Key words

Business/Emerging Technologies/Four Gr owers Inc./Machine Learning/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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