I, Robot的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列問答集和資訊懶人包

After Work: The Fight for Free Time

為了解決I, Robot的問題，作者Hester, Helen/ Sprnicek, Nick 這樣論述：

A vital and timely proposal for a feminist post-work politicsWould you let a robot clean your house? When we think about work, we still tend to think about workplaces - if we think about reducing work, we think about reducing working hours and spending more time at home. But the home has never be

en free from work, and with the continued gendered division of labour, women still do the bulk of domestic activities. As two-income families find themselves ever more time-poor, many look to outsource to cleaners, nannies, and care workers. More and more, it would seem, people are finding themselve

s without either the emotional or the financial resources to take care of themselves and each other. The home, rather than an escape from the work and its pressures, is in fact an extension of it. After Work is a crucial corrective to this trend, extending its attention beyond paid jobs, to the impa

ct of domestic work upon familial relationships, social bonds, and our very conceptions of domestic space. What if we automated housework? In this groundbreaking work, Helen Hester and Nick Srnicek argue that there is a crisis that can and should be tackled. Only by rethinking the way we organise ou

r living arrangements, redefining our domestic standards and remaining open to the automation of work done in the home, they argue, can we imagine a world that is truly post-work.

I, Robot進入發燒排行的影片

使用理財機器人的行為意圖之研究

為了解決I, Robot的問題，作者林昱德 這樣論述：

本研究以探討使用者使用理財機器人之使用行為相關研究，目的為探討使用者使用因素，提供未來後續業界之參考，以及找出現階段理財機器人使用者的描述性統計分析。本研究以有使用過銀行推出之理財機器人作為研究對象，於 2022年 7月 14日於網路進行正式問卷投放，回收後進行資料分析，經過問卷後台揭露，本次問卷研究投放人數為 4765 人，回收 490 份問卷，有效得 387份，有效回收率為 78.79%。研究架構以 UTAUT2 為基礎，並加入感知風險成為新的會影響使用意圖的因素。研究結果顯示，績效預期、社群影響、促進條件、價格價值以及習慣會對行為意圖產生顯著正向影響；努力預期以及感知風險對行為意圖則是

沒有影響；行為意圖以及習慣對使用行為有顯著正向影響；促進條件對使用意圖則無影響。希冀本研究可以作為相關單位的參考依據。

Dark All Day

為了解決I, Robot的問題，作者Carlson, Brenden 這樣論述：

In an alternate 1933, a sleuth and his robot partner are caught in the middle of a legal battle that will decide the fate of the world’s machine population.＂This writer is definitely one to watch＂ --The Globe and MailTwo months after an investigation that nearly put Elias Roche behind bars, the f

ormer cop turned mob enforcer has endeavoured to separate himself from his past by going straight. Now working as a private investigator, his attempts to build himself a quiet life have so far yielded promise. However, while Manhattan’s Lower City is in the midst of a reignited mob war, Elias is fac

ed with finding a man who doesn’t want to be found, absolving a machine of murder, and discovering a network of secrets that keeps the world turning, almost literally.Reuniting with his old Automatic partner Allen and reporter-turned-hitman Simone, Elias must search for the truth amid a web of consp

iracy and lies. While failure would result in the eradication of all Automatics in America and cripple the megacorporation that hired him to investigate, success could uncover truths no one is ready to face: truths about the city, Allen’s past, and which side they’re all truly fighting for.

設計與實作應用於西瓜採集無人機系統之人工智慧電腦視覺系統

為了解決I, Robot的問題，作者馬約瑟 這樣論述：

本文設計和實現了一種用於採集、導航和檢測西瓜的計算機視覺系統的,該系統使用無人駕駛飛機且無需人工干預。該系統實現了單板計算機Nvidia Jetson Nano和為圖像傳輸樣式(Pix2Pix)而創建的捲積神經網絡。這些元素整合在一起用於檢測,姿態估計和導航以達到目標。所有流程均由狀態機管理,該狀態機負責激活或停用在後台運行的不同流程步驟。ROS平台用於創建不同進程之間的數據交換。無人機使用稱為mavlink的標準化協議來將單板計算機與飛行計算機進行通信。ROS環境中的mavros用於解釋兩個元素之間的所有數據。無人機的目標是創建一個無監督的系統以快速便捷的方式處理繁重的任務,例如西瓜收穫。

用於檢測的神經網絡結構經設計可達到30幀FPS,可在配套計算機中滿足較高的可靠性,較低的內存使用以及快速判斷來滿足這三個條件,這些條件對於實現自主飛行是必不可少的。