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專業(yè):人工智能,工程
項(xiàng)目類型:國外小組科研
開始時間:2024年10月12日
是否可加論文:是
項(xiàng)目周期:7周在線小組科研學(xué)習(xí)+5周不限時論文指導(dǎo)學(xué)習(xí)
語言:英文
有無剩余名額:名額充足
建議學(xué)生年級:大學(xué)生 高中生
是否必需面試:否
適合專業(yè):信號與信息處理機(jī)器學(xué)習(xí)信息工程人工智能工程機(jī)器人生物仿生學(xué)
地點(diǎn):無
建議選修:工程系統(tǒng)建模與設(shè)計原理
建議具備的基礎(chǔ):機(jī)器人學(xué)、仿生學(xué)、信息工程、人工智能、機(jī)器學(xué)習(xí)等工程類專業(yè)或者希望修讀相關(guān)專業(yè)的學(xué)生,對仿生機(jī)器人研究感興趣的學(xué)生; 學(xué)生需要具備物理基礎(chǔ)、高等數(shù)學(xué)基礎(chǔ),至少會使用一門編程語言。
產(chǎn)出:7周在線小組科研學(xué)習(xí)+5周不限時論文指導(dǎo)學(xué)習(xí) 共125課時 項(xiàng)目報告 優(yōu)秀學(xué)員獲主導(dǎo)師Reference Letter EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等級別索引國際會議全文投遞與發(fā)表指導(dǎo)(可用于申請) 結(jié)業(yè)證書 成績單
項(xiàng)目背景:1958年,斯蒂爾意圖通過研究生物系統(tǒng)解決工程問題,標(biāo)志著仿生學(xué)作為概念首次提出。如今,隨著人工智能的發(fā)展,以及化學(xué)、控制學(xué)、材料學(xué)研究的不斷突破,仿生機(jī)器人在適應(yīng)性、靈活性上實(shí)現(xiàn)了跨越,逐漸活躍于社會生活、工程勘探、安全救援、醫(yī)療器械等諸多領(lǐng)域??梢哉f,仿生機(jī)器人和類腦計算共同構(gòu)成了過去百年間機(jī)器人學(xué)、生物科學(xué)、人工智能最具前沿性和發(fā)展空間的交叉性研究領(lǐng)域。何為仿生機(jī)器人?當(dāng)前存在何種技術(shù)局限?未來發(fā)展前景又在何方?項(xiàng)目將帶領(lǐng)學(xué)生圍繞仿生機(jī)器人展開探索。 In 1958, Steele intended to solve engineering problems by studying biological systems, marking the first introduction of bionics as a concept. Today, with the development of artificial intelligence and the continuous breakthroughs in chemistry, cybernetics, and materials research, bionic robots have made leaps in adaptability and flexibility, and are gradually active in many fields such as social life, engineering exploration, safety and rescue, and medical devices. It can be said that bionic robotics and brain-like computing together constitute the most cutting-edge and developmental crossover research area of robotics, bioscience, and artificial intelligence in the past century. What is bionic robotics? What are the current technical limitations? What are the future prospects for development? The project will take students on a journey of discovery around bionic robotics.
項(xiàng)目介紹:項(xiàng)目內(nèi)容包括Matlab編程、機(jī)器人仿真、機(jī)器人設(shè)計與構(gòu)型、機(jī)器人軌跡規(guī)劃與搜索、機(jī)器人學(xué)習(xí)與進(jìn)化算法等。學(xué)生將通過本項(xiàng)目熟悉機(jī)器人學(xué)和仿生學(xué)基礎(chǔ)理論知識,了解由工程學(xué)引領(lǐng)的生物學(xué)最新發(fā)現(xiàn)與實(shí)例,在項(xiàng)目結(jié)束時,提交項(xiàng)目個性化研究課題報告,進(jìn)行成果展示。
個性化研究課題參考:
基于進(jìn)化算法的足球機(jī)器人路徑與協(xié)作優(yōu)化研究
基于改進(jìn)差分進(jìn)化算法的機(jī)器人動力學(xué)參數(shù)辨識方法研究
服務(wù)機(jī)器人動力控制系統(tǒng)設(shè)計
The project includes Matlab programming, robot simulation, robot design and conformation, robot trajectory planning and search, and robot learning and evolutionary algorithms. Students will familiarize themselves with the basic theoretical knowledge of robotics and bionics through the project, learn about the latest discoveries and examples of biology led by engineering, and submit a report on their personalized research project at the end of the project to present their results.
Individualized research project reference:
Evolutionary algorithm-based path and collaboration optimization for soccer robots
Robot dynamics parameter identification method based on improved differential evolutionary algorithm
Design of power control system for service robots
項(xiàng)目大綱:仿生機(jī)器人:Matlab編程、機(jī)器人仿真 Bio-inspired robotics: introduction and overview 機(jī)器人設(shè)計與構(gòu)型:機(jī)器人設(shè)計與構(gòu)件,運(yùn)用仿生學(xué)概念進(jìn)行機(jī)器人仿真 Robot designs and architectures 肌肉VS動力系統(tǒng)、人腦VS電腦 Muscles vs motors, brain vs computers 機(jī)器人軌跡規(guī)劃與搜索 Robot trajectory planning and search 機(jī)器人學(xué)習(xí)與進(jìn)化算法 Robot learning, evolutionary algorithm 項(xiàng)目回顧與成果展示 Program Review and Presentation 論文輔導(dǎo) Project Deliverables Tutoring